*This blog entry was written by BESIX*

In this blog, the proposed automation strategy for the ongoing design process of the tunnel and its benefit during the detailed design phase compared to traditional methods will be discussed. The present project forms the first application of [parametric design](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) and automation of such magnitude being developed in-house at the BESIX Engineering Department. It reflects our ambition to use these techniques for tackling the ever increasing challenges within the construction industry and simultaneously boosting productivity and the quality of the final product.

## Programming for construction engineering
When encumbered by the limitations of existing software packages, engineering tasks can greatly benefit from customized and automated workflows enabled by custom tools. Though not new, the implementation of programming in construction engineering is rapidly rising. The demand grows due to the ever increasing requirements and complexity of construction projects. In parallel the possibilities increase due to growing computation power, improved availability of Application Programming Interfaces (API’s) and to the rise of visual programming environments that are supported by large online communities, such as Grasshopper or Dynamo.

## Parametric design and automation
About two years ago the in-house Engineering Department of BESIX –Belgium’s largest construction firm– started to explore the potential of [parametric design](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) and automation to enhance engineering activities. 

### Parametric design for a new highway connection

BESIX is part of joint venture De Groene Boog that will design and construct a new highway connection in the North of Rotterdam for Dutch agency Rijkswaterstaat. The project comprises a 2.2 km long tunnel (excluding its entry ramps) of which the BESIX Engineering Department is currently conducting the structural design. Given the fact that repetition is key to ensure a large positive impact (both in terms of efficiency and quality) of any automation strategy, this tunnel design has from the start proven to be an ideal candidate to benefit from automation: it is a linear project with very repetitive geometry described by straightforward logic. In addition, a preliminary and detailed design phase of more than a year was foreseen, creating a risk for various design changes throughout the process that require rework. The project offered a unique opportunity for new developments thanks to this sufficient availability of time and to the high enthusiasm of all involved parties within the consortium for testing novel techniques. It forms the largest application of [parametric design](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) and automation developed inhouse at our engineering department so far.

The scope of automation for the tunnel design at BESIX comprises three parts:

1. the construction of a 3D Building Information Model (BIM);
2. the extraction of 2D technical drawings from this model;
3. structural calculations of the piles and tunnel section.

## A parametric information model

For purposes of coordination, visualization and communication a Building Information Model (BIM) of the tunnel’s structure needed to be created. This model is in a later phase used as the single source for the extraction of technical drawings.

To benefit from the high degree of repetition, we decided to create the model through a series of custom programmes or scripts built upon and interconnecting multiple existing software applications. The model is composed of [parametric objects](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) of which the parameters easily allow their geometry to adapt to the variations present in the tunnel. The scripts automatically place and update these objects together with their parameters and other information. The location of each object is computed from the central road axis (see picture below), which is delivered by an external party. Consequently, a change in road axis can swiftly be propagated to the entire BIM.

![Three steps in the automated creation of the BIM](/uploads/Three_steps_in_the_automated_creation_of_the_BIM_57af2b2ec8.png)

*Three steps in the automated creation of the BIM: external input, i.e. the road axis and top surfaces with cross fall (top); main lines of the linear geometry (middle); view from the resulting structural model (bottom); screenshots from Dynamo and Revit.*

### Spreadsheets

The key parameters that together with the road axis drive the geometry of the model are gathered and managed using a set of spreadsheets. These spreadsheets offer the advantages of ease of use and centralization. They simultaneously serve as the interface between the multiple software packages –each selected for its specific strengths– comprising the automation workflow. From this information, each corner of the linear structural components of the tunnel could accurately be computed. The resulting coordinates are stored into a new spreadsheet that forms the basis upon which the entire model is further constructed. Subsequent tools stepwise populate these numerous coordinates with the parametric objects of walls, floors, piles etc. Due to the vast number of coordinates and objects, the custom developed scripts are no longer merely handy, but become indispensable to ensure that this process can be done in an efficient and accurate manner. The entire workflow is illustrated at the end of the blog.

### A custom tool

It is important to note that various specialized commercial software packages exist for the modelling of linear infrastructure projects based on one or more road axes and a [parametric](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) road or tunnel profile. The coordinates of each corner of each linear structural component can furthermore easily be extracted from these models. The development of a custom tool for this purpose was nevertheless necessitated by the specific segmented tunnel geometry of the present project. The existing software typically creates geometry by sweeping a vertical profile along the road axis. Hence horizontal dimensions are measured normal to the road axis. In contrast, the present project consists of 25m long tunnel segments comprising straight walls, where horizontal dimensions should be measured perpendicular to the walls. A mismatch hence exists at places where the road alignment is bent. Though the difference might be small and mostly fall within construction tolerances, for the detailed design phase (with a minimum requirement of LOD300) we have nevertheless chosen to create a model that accurately corresponds to the design.

## Designing the tunnel

### Workflow automation

Developing the automation workflow for the creation of the [parametric](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) BIM of the tunnel has proven to be a time-consuming act. Multiple iterations of trial and error were required to find a workflow that offers sufficient flexibility to include all design variations throughout the process from model setup to drawing production. Consequently, an initial manual creation of the model within the existing software applications will probably have been faster. Nevertheless, multiple design changes have already taken place throughout the design process that likely have shifted the balance. The lessons learnt will additionally lead to faster developments on future linear construction projects.

### Accuracy, less errors, and flexibility

Apart from time spent or won, the custom workflow improves accuracy and reduces risk of errors during manual actions. Most importantly is the gain in flexibility. Indeed, even a drastic change such as altering the road axis can now be quite efficiently dealt with by rerunning the various scripts. Nevertheless, the adaptability enabled by the developed tools is not infinite, but confined to a predefined design scope. It is important to consider which design changes should be allowed and included at the start of the modelling process, as changes surpassing the foreseen logic are more difficult to incorporate. The reality of a design project of this magnitude has unfortunately proven that this foresight is not always possible, making some rework inevitable.

### Automated drawings

From the information model over 2000 of similar, yet not quite identical 2D drawings need to be extracted. This equals one unique set of drawings for each of the 89 tunnel segments. Automation is imperative to ensure an efficient production process and should furthermore ease the handling of late design changes.

Modern BIM tools greatly facilitate the extraction of drawings from a 3D model. The drawings are views from the 3D model, meaning that a change in the model is directly reflected in any related drawing. Nevertheless, setting up these drawings requires numerous manual actions. The average drawing sheet can easily take up to 8 hours for an experienced draftsman to complete. We have therefore opted to first create a single unique set of drawings of the tunnel to be approved within the project team, which would then serve as an example to be replicated as well as possible through automated procedures.

Our previous experiences have shown that due to repetitive work connected to drawing production greatly gains in time, standardization and accuracy can be made using custom tools with a short development time, reducing a draftsman’s work from an average of 8 hours to 1 hour per drawing sheet. Our goal for the present project is to further minimize the manual post-processing needed by draftsmen and to entirely eliminate this need for 80% of the drawings.

In a first step we automatically produce and manage the creation of drawing sheets and title blocks from a spreadsheet. The spreadsheet containing all drawing sheet information that is needed as input for this automated production is in general readily available for planning purposes. It can hence be efficiently reused for the actual creation of the drawing sheets. During the process, non-textual information can be added to the drawing sheets as well, e.g. QR codes providing a link to the online data management system.

#### Views and scripts

Once the drawing sheets have been prepared, views are created in the model and arranged on the drawing sheets. This process is straightforward to automate when the arrangement has been well considered in advance. Creating scripts to add dimensions to the 2D drawings has in contrast proven to be elaborate. In search for a generic approach to place context-specific annotation, we have opted to add coded markers to the [parametric model](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) objects (inspired by the work of jointventure-partner Mobilis on project RijnlandRoute). Instead of directly dimensioning the objects, their markers are dimensioned, where each marker represents one point in space. The form of annotation is managed in the marker codes, which group points to be added to the same dimension line and define this line’s orientation and relative position. For example markers with a similar code for property X will be added to a linear dimension line for all views oriented along direction Y. Annotation can hence be managed and customized within the modelling environment instead of the scripting environment. Since we have more modellers available than programmers, this is a beneficial feature.

### Promising tests

Though the actual results are due later this year and the drawing automation workflow is still under development, first tests are promising. Numerous drawing sheets and views can be produced in no time and in a highly standardized manner. Full automation has not yet been reached for any drawing set, where particularly the post-processing of annotation remains crucial. We will continue extending the automated actions where the BIM application’s API makes it possible and the potential time gain versus the required development time of the scripts makes it sensible to do so. For indeed, full automation of all drawings will surely not be useful as most unique technical details will simply be more efficient to produce manually using the standard toolset provided by the BIM application.

## Design automation

The present project equally entails repetitive work for the structural design of the tunnel that could be improved through automation. Several small tools are developed in-house to facilitate geotechnical analysis of the foundation and sheet piles. For the design of the reinforced concrete tunnel structure a tool has been developed together with an external partner on a Cloud-based platform (VIKTOR).

### Geotechnical design

Over 6000 foundation piles and 4000 sheet piles are to be designed for the tunnel. First, hundreds of CPT measurements need to be interpreted and matched to the piles for calculation. A spreadsheet has been set up for a custom interpretation of the CPT measurements and a VBA routine to run this process in batch.

For the calculation of the piles, the tools typically used in the Dutch market are straightforward to use, though they do not allow to create [parametric calculation models](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction). To avoid the need to manually change the model input for each unique set of soil and loading conditions along the tunnel, we created another spreadsheet to mimic parametric behaviour. The desired parameters of each individual calculation model are assembled in a single spreadsheet. As the calculation model can be easily read and edited through a text editor, we then use string manipulation to edit the textual contents of the model and create a unique calculation model for each unique set of parameters. These are in a following step computed in batch and the results automatically gathered – again in a spreadsheet– for post-processing.

### Structural design

For the structural design of the concrete floors, walls and roofs, we have collaborated with an external partner from the Netherlands, VIKTOR. Together we have developed a tailored design tool on their cloud-based platform by combining our engineering expertise with their development skills. This tool in a first step assists in setting up the structural models along the entire length of the tunnel for two different structural analysis software packages: a first to compute the internal forces of the tunnel sections and a second to design the structural reinforcement. The models are defined [parametrically](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) to easily set and change the design, while varying loads due to a variable tunnel depth are automatically introduced. The tool subsequently enables batch calculating all models and, most interestingly, afterwards gathers the results from both structural analysis packages and overlays them in a single visual representation (Figure 2). Aside from simply reducing the manual work, the tool hence processes and presents information in new manners providing swift insight for better-informed design decisions.

### Quicker calculations

To assist the geotechnical design, several small tools have been developed in-house based on spreadsheets. These tools are a typical example of a short development time combined with rapid results and great time savings. Of course spreadsheets have long been widely used in engineering. It is important to be aware of their added strength once they are connected to external files and applications.

For the design of the tunnel’s reinforced concrete structure, the developed Cloud-based VIKTOR application drastically speeds up the calculation process and thus allows a change in design approach. Where one would traditionally calculate only a handful of representative tunnel sections, this tool allows calculating hundreds within the same time frame. The tool is hence beneficial to achieve higher precision results and improved insight, which enable fine-tuning the design and reducing material costs.

![design and production automation a16 tunnel rotterdam.png](/uploads/design_and_production_automation_a16_tunnel_rotterdam_36c4f26735.png)
*Visual output of the custom application based on the Viktor platform: single cross-section with bending moments (blue and red) and unity checks (yellow/green lines) (top figure); contour plot visualizing the unity check of the floor along the entire tunnel (results for 8 different segments are shown; bottom figure).*

## Technical or organizational challenge?

Due to its straightforward, repetitive geometry and its scale, the presented tunnel project offered various opportunities to develop customized tools for automation. Simple and accessible tools such as spreadsheets often play an important role, particularly as interface between existing software applications for an improved interoperability. The interactions between the individual workflows and tools could be further improved (e.g. by using the same centrally-stored geometric parameters for all applications; flowchart below). The variety of actors, information requirements, responsibilities and schedules however make this an organizational challenge rather than a technical challenge.

![Flowchart of the automation workflows](/uploads/Flowchart_of_the_automation_workflows_01f11c97e3.png)
*Flowchart of the automation workflows discussed in the present paper. The road axis is input shared by all workflows. Other input parameters -such as dimensions of the tunnel geometry- are of course equally shared, though they are entered in different formats and at different locations due to the varying information requirements. The dynamic links between the workflows should be improved in future projects.*

## Deciding automation

Developing the automated setup of the information model has taken longer than expected, largely due to the incorporation of exceptions on the overall geometrical logic. It should hence always be carefully considered whether these exceptions should be automated in the first place. Once the effort has been made, a huge flexibility for coping with design changes is nevertheless obtained. The various developments for drawing production and geotechnical calculations moreover demonstrated the potential of small tools to have a large profitable effect on time, effort, accuracy and standardisation.

Our enthusiasm about the added value of [parametric design and automation](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) is high and likewise are our ambitions for the present project. Multiple developments are still ongoing and several tools still need to be tested. Their true added value remains to be evaluated to maximally benefit from the present developments in future projects.

See how you can apply [parametric design solutions](https://www.viktor.ai/parametric-design-software) to your projects too. 

### References

“Parametrisch ontwerpen,” Cement: vakblak over betonconstructies, vol. 70, no. 6, pp 4-55, 2018.
Level Of Development (LOD) Specification Part I & Commentary, BIM Forum, 2019, available on https://bimforum.org/lod/

K. Roovers and F. Snoeck, “Parametric Design and Automation for Contracting,” in Proceedings of the IASS Symposium 2018, C. Mueller and S. Adriaenssens, Eds. Boston: MIT, 2018.

Bron: 2019 IABSE congress New York City


Infrastructure & Construction

Engineering & Design

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Digital models were set up parametrically to produce a numerous drawings detailed 3D model of the A16 tunnel in Rotterdam, and effectively cope with possible design changes.

Parametric design and product automation for Rotterdam's A16 tunnel

1. What is parametric design, and how is it evolving
2. Collaborative parametric design: working together for better results
3. How to make tools available to others
4. Active collaboration on parametric design tools
5. Parametric design in a billion-euro project
6. What collaborative parametric design means for you



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Parametric design is a design approach that uses flexible models that can be adjusted and solved quickly. The goal is to see the effect of specific choices on your design by just changing the input variables. 

The benefits are:

- **Flexibility:** Parametric design allows you to react quickly to changes at a low cost. Always generate the best solution for your project no matter the time pressure.

- **Better decisions:** Automatically calculate thousands of different solutions, get deep insight, and mitigate risks. Make better decisions and provide more added value to clients.

- **Digital Assets:** Create models and data that are reusable in new projects. Improve them over time, building up digital capital

This white paper is for engineers, architects, project leaders, and innovation and business managers. You will learn how collaborative parametric design in the cloud helps organizations get better results with real study cases such as a billion-euro infrastructure project.
 
Additionally, we talk about how you can transform Python, Dynamo and Grasshopper scripts into user-friendly web apps and significantly impact your organization performance. 

Learn how collaborative parametric design models allow you to work together for better solutions.

Download the white paper and get INSPIRED

This white paper is for engineers, project leaders, and innovation and business managers that want to learn more about what collaborative parametric design can mean for them. Discover more about this new way of working in which stakeholders collaborate to find the best solution for a project.

The Future of Parametric Design is COLLABORATION

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Unleash the power of BIM with VIKTOR - the intelligent platform that streamlines your workflow and maximizes your efficiency. With web-based apps to interoperate different software integrations and utilize the BIM innovations.

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Utilize various software integrations, let different software speak to each other without data-loss

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VIKTOR helps in BIM 7th dimension of facility management, by controlling Digital twins and harvesting data from sensors.

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 VIKTOR empowers BIM professionals to optimize their designs in the early stages, taking into account financial, environmental, and design analysis factors

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Engineers are meant for awesome tasks only. All repetitive and boring tasks should be automated. VIKTOR has been used by engineers in automating reporting, calculation and generative design optimization.

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# Interoperability


VIKTOR enables all users to thoroughly exploit the whole BIM ecosystem. Therefore, VIKTOR empowers users to harness the full potential of the BIM ecosystem, building upon the principles of parametric design. By promoting interoperability and seamless data exchange across various platforms, VIKTOR ensures that all users can effectively leverage the BIM ecosystem's capabilities. Python plays a vital role in achieving this goal by providing a common medium for data translation and minimizing data loss. VIKTOR can integrate data with various platforms individually and channel the data between them, making it possible to integrate with any software that allows for external integration.

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# Digital Twins

VIKTOR provides BIM professionals with the ability to create a digital twin of a physical building, which can be used for simulation, analysis, and optimization. With data integration from various sources such as sensors, BIM models, and IoT devices, VIKTOR enables the creation of a virtual replica of the building and its operations, allowing for efficient building maintenance and management. By providing a platform for hosting information from sensors and automatic failure detection, VIKTOR offers an alternative to periodical maintenance visits, increasing the overall effectiveness and accuracy of the maintenance process.

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# Early-stage Design Optimization

To ensure effective BIM management right from the start, early-stage design optimization is critical. BIM LOD 100 plays a crucial role in this by offering a framework for developing detailed building models, enabling architects, engineers, and construction professionals to streamline workflows and make informed decisions. With the integration of powerful Python packages like Topologic, and Ladybug Tools, AEC professionals can analyze cost estimates, energy modeling, and thermal comfort analysis, facilitating the identification of areas for improvement from the early stages! eventually, guaranteeing successful project outcomes.

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# Automation


VIKTOR is a powerful platform for BIM professionals that offers automation capabilities to streamline workflows. With VIKTOR, BIM data can be automatically extracted and analyzed, allowing for early-stage design optimization and informed decision-making. The platform's automation features also eliminate the need for manual data entry, reducing the risk of errors, saving time and most importantly exploring a vast amount of generated solutions in a few clicks. By leveraging VIKTOR's automation capabilities, AEC professionals can focus on more complex tasks and drive innovation in their projects.

Our experts can help you find the right opportunities, set realistic goals, and meet deadlines.

Effortlessly integrate with industry-leading software, the Python Ecosystem, and modern development tools.

Why VIKTOR for BIM

VIKTOR’s software solutions are designed to support BIM methods, providing engineers and other domain experts with an array of benefits that help streamline the design process, reduce waste, and cut down on costs. 

BIM & VIKTOR: Unlock your full engineering potential

[Building Information Modeling (BIM)](https://www.viktor.ai/blog/100/how-BIM-innovations-transform-AEC) has redefined the way professionals in the Architecture, Engineering, and Construction (AEC) industry approach the design, construction, and management of buildings and infrastructure. VIKTOR’s software solutions are designed to support BIM methods, providing engineers and other domain experts with an array of benefits that help streamline the design process, reduce waste, and cut down on costs. 

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Original article: [VIKTOR en WSP werken samen aan applicatieontwikkeling](https://www.wsp.com/nl-NL/nieuws/2022/WSP-en-VIKTOR-werken-samen-aan-applicatieontwikkeling/)

[WSP](https://www.wsp.com/nl-NL) starts building Cloud-based Python applications with VIKTOR, the [web-based development platform for engineering applications](https://www.viktor.ai/platform). WSP started using the VIKTOR platform back in 2021 with two successful Prove of Concept’s (PoC’s), in which within two shorts sprints (four weeks) two applications were already developed.

## Partnership WSP - VIKTOR 

This successful approach is now continued through a partnership that has been signed by both parties as of this week. 

> “Our goal for this year is to provide our colleagues with easy-to-use Python applications. Additionally, we want to professionalize our application development. The reason for this partnership with VIKTOR is because their platform enables our engineers to develop Python applications themselves and distribute them amongst colleagues in a secure manner. These colleagues don't need to have any programming experience to use the applications. Before, it took our coding engineers lots of time per colleague to whom the application had to be made available. Now, the VIKTOR platform enables us to do this all at once. So far, this has already been very promising and that is why we are now continuing at high pace!” - Mark van den Brink, Digital Transformation Lead at WSP

## First two applications finished

The applications that were developed within the first sprints are the ‘cross-section tool’ and the ‘remmingwerken tool’ (with the purpose of slowing down ships whenever they approach e.g. a bridge). Both tools can be used within WSP by colleagues without any programming knowledge, enabling them to benefit from the programming experience of their colleagues that do have programming experience, without constantly requiring their interference. 

### Cross-sections

> “The cross-section tool allows our engineers to easily define a large set of perpendicular lines along a line object (dike trajectory, railroad, go on), after which cross-sections of the ground level are generated by connecting with the AHN-web service. Additionally, the user has the possibility to upload grid files that function as data source. Examples of this are the extraction of hydraulic head from ground water models to calculate the hydraulic gradient on a dyke or to determine the local soil build-up by extracting 3D underground information.” - Martijn Kriebel, Flood Risk Consultant at WSP

![UI of Cloud-based Python Cross-section tool](https://cms.viktor.ai/uploads/Blog_WSP_partnership_cross_section_tool_888a9cde77.jpg)

*Interface of the cross-section tool*

### Remmingwerken

> “De remmingwerken tool allows our constructors to easily perform an iterative calculation of the energy intake of fenders in a 3D-environment. By automating the iterative non-linear analysis, a higher accuracy and time-gain can be achieved. Through a graphic web app, different software such as SCIA engineer and Excel work together to come to an answer. After the calculations, the results are presented in an interactive graph.” - Wichard Bron, Constructor Infra at WSP

![Visual UI Cloud-based Python Remmingwerken-tool](https://cms.viktor.ai/uploads/Blog_WSP_partnership_Remmingwerken_tool_2c15164caa.jpg)

*Visualization from the Remmingwerken tool*





Application development engineering Python

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Discover how engineers at WSP use VIKTOR to develop their own Cloud apps for colleagues without programming experience.

WSP engineers build apps to automate processes with VIKTOR

WSP builds engineering apps for colleagues without Python experience

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Transformation lead at WSP

Mark van den Brink

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## Dike design tool Wilma: a new, digital way of designing

The Wilma dike design tool, created on the VIKTOR platform, is a renewed design environment for the geotechnical consultant. The tool was developed by the Graaf Reinaldalliantie to be used on the Gorinchem-Waardenburg (GoWa) dike reinforcement project.

The innovation consists of the combination of cleverness and insights of the designer and the infinite computing power of the computer on the VIKTOR platform. For the Wilma tool, design software for the various design mechanisms (D-series and PLAXIS) is integrally linked and data is centrally managed in accordance with the BIM philosophy. Because of this, changes in starting points or other information can be made transparant very quickly, allowing the design to adapt quickly as well. This provides a certain flexibility in the design process that has proven itself to be very beneficial within this project. 

## A challenging reinforcement

The Graaf Reinaldalliantie was established to strengthen the river dike between Gorinchem and Waardenburg. The alliance consists of the Water Board Rivierland and the contractor consortium ‘Waalensemble’ consisting of Heijmans, GMB and de Vries & van de Wiel. Royal HaskoningDHV is associated with the alliance as an advisory party as well. 

This dike improvement project is approximately 23 kilometers long and is particularly complex in terms of tasks related to reinforcement. Not least because of the highly heterogeneous soil structure, which was created in the past on the north side of the Waal by the many old river channels and fillings, the diversity of soil layers and the filling in at the site of old dike breaches. The dike body itself also varies in structure due to the construction of the dike over the centuries and the reinforcements and relocations of the past decades. In order for this dike section to meet current safety standards, several improvement measures are needed that, together with the built environment, the soil conditions, and the transition to undrained modeling, make it a very challenging project.

## Taking initiative

In the tendering phase of the Gorinchem-Waardenburg dike reinforcement project, Waalensemble took the initiative to perform the design calculations in a smarter, more efficient way, based on the positive experiences from previous Heijmans projects (Wilhelminakanaal, Wintrack) where repetitive design issues in particular were efficiently automated. In these examples, design software (D-Series, SCIA, Excel) is linked by means of assumptions and existing equations, resulting in an automated process. This principle has been adopted by the Gorinchem-Waardenburg dike improvement project, further elaborated and further professionalised through the availability of the VIKTOR platform, among other things. The Viktor platform makes it possible to link design software in a much easier way and with extra functionality than was previously possible in the aforementioned Heijmans projects. During the project, the functionality of the dike design tool was expanded in various versions with settlement and failure mechanisms such as macro stability, piping and overtopping, which can be calculated simultaneously per cross section, for both embankments and dike relocations. An example of a schematic of a profile is shown in the picture below.

![An example of a cross section schematized by Wilma with a crown displacement and inward embankment in a D-GeoStability calculation.](/uploads/Cross_section_schematized_by_Wilma_8ed53a86da.png)

*An example of a cross section schematized by Wilma with a crown displacement and inward embankment in a D-GeoStability calculation.*

### The first development

The first development motif arises from the request to support the designer in achieving a higher quality of the stability calculations. The application of the undrained CSSM model requires a schematisation with boundary tensions and a course of the effective tension due to changed water levels and previous loads. Within the functionality of the then available D-GeoStability version 18, this required a far-reaching division of the soil layers with additional stress calculations by the designer. The first version of Wilma has been developed to achieve an accurate calculation of the stresses and to develop an efficient method to include these results in the D-GeoStability model.

### The second development

After a successful application of the first version, the second development started almost immediately. The functionality has been extended to centrally manage the input and output of the various design software. This is in line with the BIM method for quality assurance and version management. In a design analysis, the geotechnical properties per soil layer and the derived parameters that are determined by means of a calculation method, always originate from Wilma and are independent of other design calculations. The old and the new process diagram, where the [parametric design tool](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) is central, is shown here:

![Traditional vs Parametric vs Generative designwilma design process (1).svg](https://cms.viktor.ai/uploads/Traditional_vs_Parametric_vs_Generative_designwilma_design_process_1_dcdd3d64a0.svg)

*Traditional design process versus new design process with Wilma.*

From this central position, Wilma compiles the input files and sends them to the existing design software, such as the D-series or Plaxis. The results from the design software are then collected and presented via the [parametric design tool](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction). By automating the data flow in the design process, the effort for the designer has shifted from drawing up calculation files to supervising the quality assurance of the calculations and assessing the results.

[![CTA_start_using_PD](https://cms.viktor.ai/uploads/solutions_page_banner_4_f474c9c318.svg)](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction)


## A new design methodology
The greatest gains, however, come from a different design method. The traditional design method is based on the manual input of cross sections by a consultant, which forces planning to make choices about how many cross sections can be calculated. In a complex project such as this dike improvement, this quickly means that major simplifications are needed to realise a design within time and money. One calculation that is normative for hundreds of meters of dike is common. As a result, the design is over-dimensioned, which in principle is not wrong from a safety point of view, but does lead to strict and heavy measures that affect the environment and are therefore not always desirable from stakeholders.

### An automated way
A new automated way of calculating means that it will be possible to calculate a very large number of cross sections, instead of one standard profile. In theory, a transverse profile can be calculated with possible variants for each dike stretch where a different situation arises. This is shown schematically in figure 3, where each block represents a new situation.

![The schematic choice for a standard profile (red) or several representative profiles (yellow)](/uploads/the_schematic_choice_for_a_standard_profile_red_or_several_representative_profiles_yellow_1acc3b2033.png)

*The schematic choice for a standard profile (red) or several representative profiles (yellow)*

The ability to design a large number of profiles provides the following benefits:

1. The consultant needs considerably less time to calculate cross sections, which means more time for interpreting and analysing results and translating them into the design. This leads to great efficiency.
2. There is the possibility to perform sensitivity analyses in a simple manner with all kinds of starting points, so that a better insight is obtained which parameter influences the calculation result. This makes it possible to conduct targeted additional research quickly.
3. The calculations were adapted and carried out very quickly. While changes in the traditional design process can have major consequences for the interfaces of the design, this is no longer a problem due to all the connections built up in Wilma. Adjustments to the design or starting points can now be directly calculated for the entire route.

### Qualitatively better design
All this results in a qualitatively better design, whereby freedom is created in choosing a design solution based on the calculation results. It is therefore no longer necessary to funnel the output data in advance to compose a benchmark profile, because making the assessment is more extensive than designing an additional profile. In addition, the thinking for weighing up the various possible normative aspects is retained in the result of an additional design profile. The figure below shows this as an example through sketches and illustrations, in which the dike sections are the product of a normative cross section and the white line represents a possible design profile that, as is to be expected, more closely follows the soil structure found. Because the design profile of the white line has actually been calculated, it is possible to choose a more average design profile that fits better in the landscape. The robustness of the design is known at that time.

![The division into dike sections with a schematic representation of the design assignment.png](/uploads/The_division_into_dike_sections_with_a_schematic_representation_of_the_design_assignment_7ac20fa4a5.png)

*The division into dike sections with a schematic representation of the design assignment*

### Inclusion of additional soil research
An additional positive effect is that carrying out additional soil research now pays off because it can be processed more easily in the built-up subsurface model. With the traditional design method, additional soil investigation is often intended as a risk mitigation to verify the subsurface model. This advantage remains, however, with the design method with Wilma, the additional research is immediately included in the calculations and the design is adjusted.

## Quality assurance

### Processing results
Quality assurance of the design calculations is not formally included in Wilma. The role of the parametric design tool is to compile and start the calculations and to process the results. These design calculations are always performed with the original (and therefore validated) design software. For example, a stability calculation is performed in D-GeoStability, after which the files are also available, in such a way that it looks like a colleague has supplied the calculations. Each calculation is delivered separately from the tool and manually checked by the designer. This workflow of the calculation files also makes it possible to deliver and view the design without having Wilma.

### Centralized storage
The quality assurance of the design calculations has deliberately been left with the designer. However, the parametric design tool makes it easier for the designer to perform the checks. Firstly, because the process of illustrating through schematics, calculating and checking is almost continuous because the lead time for a design calculation is next to nothing. In addition, Wilma can compile overviews of the required control points. All basic principles and relationships important for the design can be checked because the results are stored centrally and are available to everyone.

An example of a simple check is a graphical representation of the stresses in the soil layers or the assignment of the rise height to soil layers. Such a control screen is shown in figure 5. The calculated values ​​are presented for each black-marked point in the design profile. The applied calculation values ​​can be checked at a glance because the assumptions and equations have been consistently and unambiguously applied by Wilma on the basis of the predefined protocol. There are no quality differences due to the preparation of cross sections by several consultants.

![Customer_case_calculations_with_cloud_computing_5](https://cms.viktor.ai/uploads/A_control_screen_in_Wilma_for_the_determination_of_the_boundary_voltages_7a07277148.png)


### Background testing
In order to properly verify Wilma’s work processes, various tests have been built into the Viktor platform during the development of the tool. This checks in the background whether the routines carried out by Wilma always run in accordance with the geotechnical specification. These tests roughly consist of three categories:

1. Rules of thumb; the obvious design rules are checked. Because Wilma applies standard rules, contradictions can arise, as a result of which the schematization steps are correct in accordance with the “design rules”, but the schematization as a whole is geotechnically incorrect. An example of such a test is the descending height to the hinterland.
2. Realistic modeling with fully elaborated schematics of calculations and links. When going through these tests, the routines must always give the same results.
3. Edge cases with exceptional cases to test the routines of the schematisation. During these tests, unrealistic situations are presented from a geotechnical and hydraulic engineering point of view. This ensures that the routines and rules of thumb are robust and that new exceptions are noticed.

By continuously testing with both realistic modeling that is expected within the project, and with edge cases, the behavior of the tool becomes predictable, so that the quality control focuses on exceptions. These exceptions in turn complement the design routines. The systematic elaboration of these exceptions in a design rule results in a more substantiated design methodology and the percentage of exceptional cases is further reduced. This continuous development of the parametric design tool with the insertion of exceptional cases has resulted in the design capacity increasing quadratically. This increase is based on the difference between the number of design profiles per consultant in the exploration phase and the plan elaboration phase.

## The next step
The tool is currently being further developed for more geotechnical functionalities and applications throughout the design process. The possible future expansion of the functionality of the tool can be sought in expanding the tool in the field of computing in the cloud, but also in adding IoT data from sensor technology in dikes. Both seem far away for now, but will sooner or later enrich the world of the civil industry.

See how you can [develop your own parametric design tools](https://www.viktor.ai/parametric-design-software).

[![CTA_start_building_PD_apps](https://cms.viktor.ai/uploads/Group_1_32a326f910.svg)](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction)


Customer_case_calculations_with_cloud_computing_9

Heijmans: “The luxury of having a tool that takes over 80% of the work, quickly becomes your standard”

Dike design automation tool leads to better solutions

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Design Leader at Heijmans

Jaap Wierenga

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## Automating the design process

The [parametric design](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) tool allows J.P. van Eesteren to generate the optimal designs of residential towers: As high as possible while using as little surface as possible. Visualizations of the parametric models are shown on a standard map in which all kinds of elements, such as apartments, elevators, and staircases can be seen as well. It is easy to adjust aspects such as dimensions or to add elements like additional walls by simply changing the input for the parameters. The impact of the design changes is immediately shown on the map. 

See here how engineers at J.P. van Eesteren use the application to create the optimal design for residential towers:

<div style="padding:56.25% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/670120716?autoplay=1&loop=1&autopause=0"h=7298f72eb4&amp;badge=0&amp;autopause=0&amp;player_id=0&amp;app_id=58479" frameborder="0" allow="autoplay; fullscreen; picture-in-picture" allowfullscreen style="position:absolute;top:0;left:0;width:100%;height:100%;" title="J.P. van Eesteren - LinkedIn demo (1 min 25 sec)"></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>

> “It is a design tool that can be used to draw and calculate simultaneously. Regularly, we come up with an idea from which the architect creates a design. Naturally, this is not immediately sufficient. So we start calculating again, and again, and go on. With our application, we can combine drawings and calculations, which means we can iterate much faster and cheaper!” – Max de Vries, Project Developer at J.P. van Eesteren

## Securing rules in Python

How did they establish the parametrization of residential towers? The answer is: By securing rules. According to Max, digitizing is all about rules: “These days, there are many requirements and rules that need to be tended to. What we need is a system to secure them. When we developed our tool, we started looking for ways to incorporate all of these rules, both written and unwritten. If we were not able to program them, we were not being sharp enough.”

For each project, a residential tower is put together in the same way. Nevertheless, there is an entire design process that precedes the construction every time, and every time it ends with the same result. That is why engineers at J.P. van Eesteren figured that securing rules for the automation of this process was the most logical thing to do. Now, their work starts with a result: The design of a residential tower. What follows is the optimization of these designs.

## Unique designs

A lot of people think that standardization leads to the mass production of a lot of identical-looking residential towers. However, J.P. van Eesteren has a whole other opinion about it: 

> “Every person is unique. There is a certain structure in every body that contains a skeleton, heart, liver, and go on. These are all kept in logical places for a good reason. If we start shuffling them around, something will go wrong. The same goes for residential towers. There are certain parts of a them that are unique, the same as with a person: The length of the arms and legs, hair and eye color, these all grow differently and can be changed if needed". - Max de Vries, Project developer at J.P. van Eesteren

With their application, J.P. van Eesteren has found a way to secure certain parts (the skeleton, organs) while also having the freedom to change other aspects (height, hair and eye colour).
 
## Transparancy

For the engineers at J.P. van Eesteren who use the application, it's important that their tool is transparent. Instead of using a black box that simply tells them whether a design is feasible or not after inserting certain parameters, they want to be able to know the ‘why’ behind it all. 

> “We have specifically chosen that the person who is using the application is also the one that is really behind the steering wheel.” – Max de Vries, Project Developer at J.P. van Eesteren

Because their application is so transparent, engineers can guide the project in the right directions where and whenever needed and decide for themselves what the best alternative would be in certain situations. This way, they can first tell the architect about their rational approach, only after that he starts making it into a fancy residential tower. 

Max: “Once we combine our rational approach and their design approach, we can review whether the tower can be made into a feasible design. Because the architect doesn’t have to think about the rational approach anymore, we gain a lot of time. The building is like a body: We make sure that the organs are there and in the right place and the architect decides on the length, eye- and hair color.”

## Realistic environments

A nice addition to the application, is that J.P. van Eesteren is not only able to quickly visualize the design of their own projects but of the surrounding environment as well. First, they place a building on the map by selecting a location and defining the area. Then, they can select the surrounding buildings and visualize these as well by using data from the open-source data model [3D BAG](https://www.viktor.ai/blog/48/open-source-data-building-visualization), by the TU Delft. This way, they are able to [create realistic environments](https://www.viktor.ai/blog/48/open-source-data-building-visualization) to match their realistic-looking residential towers within the app.  

![parametric design residential tower realistic environment](https://cms.viktor.ai/uploads/CC_JP_van_Eesteren_3_D_Bag_fef59394d3.png)


> “Building our own parametric design tool enabled us to generate the most efficient design for the available space, and save a considerable amount of time while doing so.​" - Martijn de Rog, BIM director at J.P. van Eesteren

For example, we were able to re-calculate the design for a  residential tower that could host the same fascilities, only with two floors less!”​ - Martijn Rog, BIM Director, J.P. van Eesteren​


Find out more about [Cloud-based parametric design](https://www.viktor.ai/parametric-design-software) on the VIKTOR platform. 

[![CTA_try_for_free](https://cms.viktor.ai/uploads/CTA_try_for_free_6af1b46cf2.svg)](https://m.viktor.ai/free_version)

Cloud-based parametric design tool optimizes residential towers

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Discover how real estate firm J.P. van Eesteren build their own parametric design building generator tool on VIKTOR.ai

Parametric design app for optimized building | VIKTOR.ai

Parametric design tool generates the optimal residential tower 

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BIM Director at J.P. van Eesteren

Martijn Rog

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## Giant potential

The idea to create the Building Structural Design tool came to life about one and a half years ago following Arcadis’ strategy to excel in the design of industrial buildings. Due to the increased request for constructions such as gigafactories, warehouses, and data centers quickly being erected all around us, Arcadis saw giant potential in the development of an application for the automation of structural building designs. 

<div style="padding:78.78% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/818358326?h=91e992e7ad&amp;badge=0&amp;autopause=0&amp;player_id=0&amp;app_id=58479" frameborder="0" allow="autoplay; fullscreen; picture-in-picture" allowfullscreen style="position:absolute;top:0;left:0;width:100%;height:100%;" title="ezgif.com-gif-to-mp4 (2)"></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>

</br>

## Go global!

Since technologies in different regions are essentially not much different from one another, and the knowledge about structural engineering is also similar, Arcadis decided to approach this development on a global scale. Thus, an application was created that can be used by all Arcadis regions worldwide. “Thanks to our active group of stakeholders and end users all over the world, we have been able to make the application accessible to everyone working in the realm of structural engineering within Arcadis,” says Michael van Telgen, Design Automation Specialist at Arcadis. “Structural engineers and consultants in different Arcadis regions are picking up the tooling and applying it to their work.”

## Preliminary and conceptual design

Built specifically for structural engineers and consultants, the Building Structural Design tool is intended for usage in the conceptual and preliminary stages of a design and focuses mainly on aspects like cost and sustainability. The purpose is to help engineers quickly create a design using input from the architect about a building’s dimensions. According to Igor Pecanac, Specialist Engineer at Arcadis: “Most of our work lies within the conceptual and preliminary stages of a design, so those are the areas we want to focus on. These are also the areas where most commercial tooling is lacking.” 

In the app, engineers can enter basic information about the building dimensions and sustainability requirements and try different grid options to automatically calculate required element sizes for, for example, columns, beams, and floors. Depending on their region, engineers can choose the correct design code before proceeding to determine loads and choose material types. Pecanac adds: “The app automatically generates the structure for you. This would normally be done by a structural engineer themselves. Instead, the app does this in just 4 seconds.”

![BSD tool frame design.png](https://cms.viktor.ai/uploads/BSD_tool_frame_design_c6dff359cc.png)

*Building Structural Design tool: Frame design*

</br>

![BSD tool elements design.png](https://cms.viktor.ai/uploads/BSD_tool_elements_design_841c64990d.png)

*Building Structural Design tool: Elements design*

</br>

## Sustainability and resources

 Using the tool, engineers and consultants can now design buildings and analyze them in 90 to 100% less time than before. This has an enormous impact on productivity, as engineers can now look at anywhere from 100 to 500 variants of a design whereas this number was previously only 2 to 3. The tool also allows engineers to make better and more well-informed decisions regarding costs and sustainability. This allows for more informed discussions with clients about their different options, helping them make balanced choices that lead to the most optimal cost-to-CO2 emission ratio. 

“Clients are requesting more information in less time, and engineers need to take more factors into account in the design process,” says Pecanac, “which is only possible if you have tools like this to your avail. The impact on productivity is simply enormous.”

![BSD tool calculation report.png](https://cms.viktor.ai/uploads/BSD_tool_calculation_report_069eafb274.png)

*Building Structural Design tool: Calculation report*

</br>

## Tool suite

The Building Structural Design tool is actually not one application, but a suite of multiple different apps on the VIKTOR platform, such as for the calculation of foundations, floors, and wind loads. The Building Structural Design tool is at the heart of it all with a focus on creating a general building design. The other apps can be used to further expand upon and specify information regarding the different elements inside a building. “We purposely separated these design choices from the main application,” says Pecanac. “We don’t want to overwhelm people by presenting 100 options to use at once.”

## The future of (structural) engineering

The Building Structural Design tool is just one of many developments Arcadis has been working on on the VIKTOR platform. In 2021, they started the development of their first app for the design of underwater concrete floors. By now, this tool has been used on several large projects, such as the design of the underpass and aqueduct in the N247 highway in the Netherlands. 
It is clear that automation software can be used in all kinds of engineering disciplines to increase productivity, and specifically in the field of structural engineering. “If you don’t do anything with automation in this area, you risk losing to your competitors,” says van Telgen. “New technologies like VIKTOR help democratize, standardize, and reuse a lot of knowledge to increase efficiency, productivity, and overall quality of work.”


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Leading design, engineering, and management consulting firm Arcadis develops its own structural engineering tools to increase productivity and sustainability and save resources. Read more on VIKTOR.ai!

How Arcadis develops next gen structural engineering tools with VIKTOR

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Designer Engineer in Arcadis

Igor Pecanac

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## More calculations in less time

Jo Gijbels is the owner of Whitebox Engineering Software and states: “With the integration between IDEA StatiCa and the VIKTOR plaform, our customers can perform a lot more calculations in less time.”

At BESIX the IDEA StatiCa is mainly used to analyse concrete structures. Instead of having to model a complete 3d structure, they rather analyse a cross-section of a concrete column in detail. Arnout De Schaepmeester is closely involved as end-user in the collaboration: “We have developed a VIKTOR application which enables us to perform a huge amount of calculations of a tunnel in a short period of time.”

## Integrating applications

In this application an integration is created between IDEA StatiCa and VIKTOR. “The application focusses on the calculations of tunnel sections for the project: De Groene Boog”, says De Schaepmeester. “These sections look very similar, but are not identical. They are all slightly different.” Each tunnel section is to be placed on foundation piles of a certain length, to make sure that the tunnel does not sink. Therefore a separate analysis is required for each section, which takes a lot of time.

## Faster performance for optimal results

Time within the project is limited. The more iterations that can be performed within a certain time window, the closer the result will be to the ideal solution. “With the help of VIKTOR, we can, among other things, determine the optimal length of each section” says De Schaepmeester. This results in a reduction of project costs.

## Endless integration possibilities

“Currently we have the integration between the concrete analyses and the VIKTOR plaform. This could of course also be possible for the steel constructions” says Gijbels. “A lot of software packages exist, which are currently unable to collaborate well together. In the future I expect this to change, so that the client can collect all individual results in a clear visualisation.”

## A positive evaluation

The collaboration between BESIX, IDEA StatiCa and VIKTOR was a positive experience for all parties. The developed application enables more efficient calculations with many iterations. This resulted in more optimization within the project, which in turn resulted in material and cost savings, and sustainability. Gijbels: “In the future I expect more automation and more benefits for the customer.”

![IDEA StatiCa and VIKTOR logo](/uploads/IDEA_Stati_Ca_and_VIKTOR_logo_6f943e8e2f.png)


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Besix makes use of IDEA StatiCa in a VIKTOR application “More calculations in less time”

More calculations in less time with IDEA StatiCa in a cloud application

## Get the white paper

**INDEX**

1. Construction companies and digital transformation
2. Technology trends for a different approach
3. Technology trends in the construction industry
4. A new technology trend for the construction industry
5. Low code for the construction industry
6. The VIKTOR platform
7. What does it cost?
8. How to start
9. What's next?

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What are the current trends in digital transformation and how do they affect the engineering and construction industry? 

This white paper is for every engineer, manager, director, or anyone else that wants to learn more about (new) technology trends that help boost digital transformation in engineering and construction, such as BIM, parametric or generative design, and low-code and no-code. 

Discover how web applications can help you find the best solution fast, get the best insights, capture knowledge into assets, and make work more joyful! 






Learn about trends in digital transformation and how they affect the engineering and construction industry.

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This white paper is for every engineer, manager, director, or anyone else that wants to learn more about (new) technology trends that help boost digital transformation in engineering and construction, such as BIM, parametric or generative design, and low-code and no-code. 

Digital Transformation: Engineering and Construction Industry

Last updated: June 19th 2022

</br>

## The early warning system and VIKTOR

VIKTOR has designed an early warning system that gives off a direct warning when there is a risk of bridge swelling. This way the bridge can automatically be cooled, so that no problems arise. The warning system is not only applicable to the Binnenhavenbrug, but to many other projects as well. Furthermore, it also contributes to the realisation of making Rotterdam a Smart City! And our role? The constant live reading of the bridge's temperature and automatic calculations of the effect on the structure in order to predict when the bridge gets too hot and will get stuck. 

</br> 

![hittestress bruggen 1.png](https://cms.viktor.ai/uploads/hittestress_bruggen_1_d7e084ace7.png)

*In English: Worries transport sector about closing bridges due to high temperatures*

</br>

![hittestress bruggen 2.png](https://cms.viktor.ai/uploads/hittestress_bruggen_2_5fd125ee1f.png)

*In English: Bridges in Amsterdam won't open due to heat*

</br>

## How does it work?

### The working principle

First, temperature measurements are collected within the web-based VIKTOR platform. Then a finite element model is used to simulate the expansion for the available measurements. After that, the simulation results are calibrated with measurements of the actual bridge length and using that information, the temperature measurements are used to calculate the dilation of the bridge. The behavior of the system can be combined with current weather forecasts to predict the bridge's behavior in the future as well. 

![Working principle of the warning system.png](/uploads/Working_principle_of_the_warning_system_ca73629e46.png)

*Working principle of the early warning system*

</br>


### Temperature sensors

A total of 52 sensors supply data about the temperature distribution of the bridge and a measurement is performed every 15 minutes. The results hereof are immediately available on the online platform. The sensors are distributed over the different parts of the bridge, being the deck, sides, primary stiffeners, and secondary stiffeners.

![Placement of the temperature sensors.png](/uploads/Placement_of_the_temperature_sensors_6e8c7e5b3f.png)

*Placement of the temperature sensors*

</br>

![hittestress bruggen.png](https://cms.viktor.ai/uploads/hittestress_bruggen_a602eda277.png)

</br>


### Temperature modeling

Ansys software is used to create a finite element model of the bridge. This model uses the surface polynomials to determine the temperature distribution in the structure. The animation below shows the temperature of the deck on 1 August between 10:00-15:00.

![The temperature on the deck](/uploads/The_temperature_on_the_deck_24f20a5ab5.png)

*The temperature on the deck on 1 August between 10:00-15:00*

</br>

### Expulsion simulations

Differences in temperature cause the bridge to warp. The first figure shows the expansion of the left and right. The differences in expansion show clear similarities with the measured temperature differences in the bridge. The second figure shows the relationship between the average temperature and the average expansion. The directional coefficient of the linear relationship can be interpreted as the thermal expansion coefficient of the bridge.

![Bridge expansion and relationship of temperature.png](/uploads/Bridge_expansion_and_relationship_of_temperature_d59826315b.png)

*The expansion of the left and right*

</br>

![Results of the simulations and the predictions of the empirical relationship. ](/uploads/results_of_the_simulations_and_the_predictions_of_the_empirical_relationship_f101269ab8.png)
*The relationship between the average temperature and the average expansion*

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### Expulsion prediction

The ratios of the temperatures of the sides and the primary stiffeners are used to predict the degree of warping. An empirical relationship is defined that gives the maximum expansion: δ𝑚𝑎𝑥 = δ𝑎𝑣𝑔 ∙ (𝑟𝑎𝑡𝑖𝑜𝑤𝑒𝑏𝑠 ∙ 𝑐1 + 𝑟𝑎𝑡𝑖𝑜𝑠𝑖𝑑𝑒 ∙ 1 – 𝑐1) 𝑐2. The coefficients are chosen so that the margin of error is minimized. The figure below shows the results of the simulations and the predictions of the empirical relationship. The maximum deviation is 0.2 mm.

![the results of the simulations and the predictions of the empirical relationship](/uploads/the_results_of_the_simulations_and_the_predictions_of_the_empirical_relationship_ed0559913f.png)

*The results of the simulations and the predictions of the empirical relationship*

</br>

### System adjustments

Before the system can be used to predict the dilatation joint, the system will have to be calibrated. The predicted expansions must be defined in relation to a reference temperature, reference length and reference dilatation joint. The measurements of the distances between the abutments and the dilatation joint are combined to determine these values. These values are measured at five different points to determine the accuracy of the warp prediction.

### System operation

After the system has been calibrated, the current temperature measurements can be translated into a minimal dilatation gap. The degree of change can be used to give a timely warning. Now the combination of temperature measurements and weather data can be used to predict an expected dilatation gap based on a weather forecast!

## Successful conclusion

The measurements bring a structural solution within reach. Even during the hottest days, the bridge remained working perfectly thanks to the 52 warmth sensors. Based on the measurements, at the end of June, the bridge deck was shortened a bit. This measure appeared to be successful and made cooling the bridge unnecessary, and traffic disruptions no longer occur. 

It is great to see that all the experience that has now been gained with the Binnenhaven bridge will be included in the approach to other bridges with heat problems in Rotterdam as well!

> "You can see under which circumstances the problem arises but also what the effect of the countermeasures is. That helps contribute to finding an affordable, data-centered solution". - Peter Madlener, CCO VIKTOR

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VIKTOR developed an early warning system that pro-actively prevents bridges from swelling and getting stuck during high temperatures by cooling them off with water from the river. 

Warning system prevents bridges from getting stuck on hot summer days

Automated measurements to anticipate dilation of the Binnenhavenbrug

1. Why the Engineering and Construction industry is falling behind
2. Key components for a successful digital transformation
3. Stages of starting a digital transformation
4. Implementing your first digital transformation
5. What digital transformation means for you

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By 2021, the Engineering and Construction industry is one of the fastest growing sectors. Even though the sector is growing rapidly, it is still amongst the least digitized industries around the world. This is not due to the lack of supply of digital solutions, but rather due to the fact that the adoption of new technologies is not forthcoming within the industry. Finding ways to boost this adoption is both a big challenge and opportunity. Therefore, it is important we start at the right place.

This white paper is for engineers, managers, and directors who want to learn more about boosting their digital transformation via a people-centered approach, rather than by focusing on tech solely. A digital solution should never be implemented for digital’s sake. It is there to help the people in an organization do their job easier, quicker, better, and with more pleasure. After the people are convinced that it will do just that, digital transformation kickstarts!

Adopting new digital solutions in your organization is impossible when your people are not on board with it. That is why convincing people about the benefits is the first priority in digitally transforming any organization.




Learn how you can boost digital transformation in your organization by focussing on people, rather than technology. 

This white paper is for engineers, managers, and directors who want to learn more about boosting their digital transformation via a people-centered approach, rather than by focusing on tech solely. Find out how you can kickstart your digital transformation!

People First, Tech Second: The Way to Boost Digital Transformation in the E&C Industry

## Optimization of the pile plan saves the client a lot of money

Voorbij often receives only a simple initial design. From their expertise and experience, they see opportunities here to further optimise it, for example by including the variance of the soil in the design process in a [smarter way](https://www.viktor.ai/blog/40/artificial-intelligence-machine-learning-engineering-construction). Optimisation can also often be done by cleverly grouping CPT’s and including these groups in the calculations, or, for example, by changing to an alternative pile system. If this can be done quickly and properly, customers can be provided with optimised pile plans faster; that saves a lot of money for the client.

## Mapping the optimization process together

First, the process was properly mapped out together with Voorbij’s geotechnical engineers, especially when it comes to visualisations. For example, the user wants to quickly view the friction zones of uploaded CPT’s and wants to view several CPT’s simultaneously. In addition, there are other functionalities that help the users, such as changing the interpretation of several CPT’s at once. The main goal is that the application itself is able to generate a pile plan optimised according to cost, and based on the soil structure and with variable parameters such as groupings, pile tip levels and pile types. Voorbij has developed a method to generate groupings from a set of rules, for which VIKTOR developers have written the underlying algorithm.

As a user, Voorbij has set requirements that are specific to their process. A few examples: when optimising, they can indicate the upper and lower limits of pile tip levels, link them to Technosoft, have the design generated in a feasible manner, adjust the limit value, see interactive load-bearing charts and visualise piles in combination with the CPT’s.

![Automatically generated pile plan in the VIKTOR application](/uploads/automatically_generated_pile_plan_in_VIKTOR_83c99b4287.png)

*An area populated with CPT’s, within the Voorbij module in VIKTOR. Based on these CPT’s and the required bearing capacity, the application can automatically generate a pile plan optimised for cost. For this optimisation, it takes soil layout and other parameters such as grouping, pile tip levels and pile types into account.* 

## Customized application quickly realized

Since the VIKTOR platform already has the generic building blocks available to configure such a [parametric design application](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction), it only takes four sprints to build a professional custom application. Even though the time-to-delivery is small, the value that is realized with the application is great for both the clients and Voorbij itself.

## VIKTOR applications are widely used

In order to achieve good optimisations, it is important to fully automate (part of) the process and build a usable application for end users. This is achieved by combining [parametric design](https://www.viktor.ai/parametric-design-software), knowledge-based rules, integrations with external software packages, Excel sheets and other models, and making this all accessible online. The VIKTOR platform is built to do exactly this and provide the building blocks for it. The platform allows an engineer with basic programming knowledge to easily and quickly build professional applications, which can be launched immediately and can be used by all team members involved. It is now widely used in the sector. For example, the platform currently plays an important role in the design phase of the big ‘De Groene Boog’ project.

![Building foundations at a construction site](https://cms.viktor.ai/uploads/Funderingen_5eb45cf87e.png)



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In collaboration with Voorbij Funderingstechniek, several parametric design modules have been built on the VIKTOR platform that support Voorbij in optimizing various processes and innovative applications. A starting point is the (re)design of pile foundations.

Optimize pile plans with an online tool to save time and budget

## Designing a sustainable future

Stefan Schoenmakers, design leader Civil Realisation Substructure of the Theemsweg route at Wagemaker explains that the Calandbrug will have reached its technical lifespan in 10 years. It was built around 1970 and provides road and freight traffic. By removing freight traffic, the lifespan is extended and at the same time the with new rail viaduct, the train traffic does not experience interference of opening and closing the bridge for shipping. The new route is designed for the next 100 years. “We have to look and think far ahead, because mobility issues may change over this period of time. This makes it a very interesting project”.

## Many parts to a mega project

Wagemaker designs almost all the foundations for this project. Wagemaker is part of SaVe, a construction consortium consisting of Besix, Dura Vermeer and Mobilis that is responsible for the design and realisation. “We work with a design team of 12 people at Wagemaker, where my job as design manager is to ensure that our product, drawings and calculations are finished on time and distributed within the organisation of SaVe. We look at implementation, manufacturability, optimisations, alignments with the road design team, with provisions for lighting, making certain parts prefab, and much more. Our constructors and modellers work on all these things simultaneously”, says Schoenmakers. A mega project.

## Complexity and diversity

Not only the size is a challenge; the route is 4 km in length, but also the complexity. “You come across different types of soil situations. In some places the foundation is in water, in other places you have to build across an existing lock, or you have to deal with a very poor soil structure, or a soil structure in which inserting piles is a challenge. It is very diverse.”, says Schoenmakers. In addition, we are dealing with the fact that almost every location is very specific regarding the number of cables and pipes in the ground. Wagemaker looked for an effective way of analysing the foundation supports. “In principle we have 100 support points, some of which are identical, but the situation is different due to the soil composition. Initially, we wanted to make a certain design choice based on a comparison between support points that are similar and then calculate only one”, which is not optimal. Due to previous collaboration on another project, they ended up at VIKTOR. “We worked on the TenneT project, of Heijmans. You were involved in that project as well, and we then saw what was possible and we also want to stimulate development. So we said right away, we are going to do it together with VIKTOR!”.

## The role of the VIKTOR platform

With VIKTOR, the substructure of the route has been parametrically designed and calculated. This was done, among other things, by means of integrations with geotechnical and structural calculation software such as the finite element program SCIA. Schoenmakers: “By using your tool, we were able to generate parametric models with corresponding load cases for all supports and foundations. This made it easy to analyse internal force distributions, pile reactions and other calculation results. We ultimately opted for 5 to 6 basic foundations. They were all defined in the database of the tool and we could attach foundation characteristics, such as soil properties. Actually, this is in reverse order to the normal process, enabling us to much better determine where optimisations are present”.

Using the tool resulted in making the design process and reporting more efficient. The VIKTOR platform has been very valuable not only in the field of calculations, but also towards the client and testing authorities: “This has enabled us to demonstrate that we have been able to design and analyse all support points properly,” says Schoenmakers.

## Wagemaker focuses on digitisation

Wagemaker clearly focuses on the digitisation of engineering; A few years ago, a Virtual Design department was established to keep up with the developments. Of the 8 people there are 2 dedicated programmers employed. “If we can save time on projects by doing things [smarter](https://www.viktor.ai/blog/40/artificial-intelligence-machine-learning-engineering-construction), we have more time for complex projects where we cannot automate or parametrise anything. You became an engineer for the complex thinking involved, thereby empowering people. You don’t want to do the same thing 10 times. It may be nice the first time, and second time as well, but then it stops. It is very time consuming and if you have to do the same thing 10 times over, the chance of errors will also increase”. VIKTOR has provided a clear solution for this. Wagemaker recently participated in a few technical sessions at VIKTOR, in which three engineers are now learning to develop their own tool in the VIKTOR platform. Not participating in this development is not an option for Wagemaker. “We try to stay ahead, because the moment you can do something that someone else cannot do, it strengthens our market position.”

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The Theemsweg route is a new railway viaduct, which allows uninterrupted train traffic on the first part of the Betuwelijn, without having to stop for ships. A challenging project for VIKTOR and Wagemaker, who is responsible for the engineering of the substructure of the route!

Parametric models to design the structure of the Theemsweg route

The [tunnel](https://www.cowi.com/solutions/infrastructure/northern-europe-largest-construction-project) is 18 kilometres long and will consist of a four-lane motorway and two electrified railway lines. This new tunnel will reduce travel time for from more than an hour by ferry to 10 minutes by car and 7 minutes by train. Besides reducing travel time, the tunnel will also lead to a [reduction in traffic emissions](https://femern.com/sustainability/the-fehmarnbelt-tunnel-will-be-built-sustainably/). This is due to the transfer of freight from road to rail and the fact that some lorries will take a shorter route as they will no longer have to cross Storebælt, Denmark, which will result in an overall decrease in CO2 emissions. 

In cooperation with COWI a [parametric design application](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) will be developed to optimise the design of the tunnel. The tunnel consists of 79 tunnel elements, each 217 metres long. Each element has slightly different loads and soil conditions, so the optimal required steel reinforcement in the concrete is different. The total amount of steel used in the tunnel is equivalent to about 50 Eiffel Towers and each tunnel element weighs 73,000 tonnes. 

The VIKTOR platform will be used to development the [parametric design application](https://www.viktor.ai/parametric-design-software) which will be used to design the tunnel, which will help COWI find the optimal design in an automated way, so they can engineer the awesome! 

 
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Discover how parametric design is used in an application to automate and optimize the design of the world's longest immersed tunnel on VIKTOR.ai

Customer cases

Automating the design of the longest immersed tunnel in the world