<div style="padding:56.25% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/729200500?h=713005f874&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="Geonius: Ground Settlement Monitoring Application"></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>

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Select 'fullscreen' in the downright corner for a better view of the application. 

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## Automatic Ground Settlement Monitoring registration and validation in the Cloud

With [Geonius](https://www.geonius.nl/)' Ground Settlement Monitoring application, you can easily solve these difficulties and save time registering and interpreting data. The application offers central registration and storage and easy sharing of data (for all of a client’s projects). Additionally, the app has several validation methods that can be used to see if a settlement monitoring device is disturbed, and if so, even automatically compensates for the skew.


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### Centralized registration

With the Ground Settlement Monitoring application, all monitoring locations and measurement data are centrally registered to provide the correct real-time information to anyone who needs it (for example, to prove the achieved end-settlement). With the app, users can easily access data both online through the browser, as well as through PDF reports. The application provides a map with an overview of all the ground settlement monitoring equipment. All data can be sent to the system at the push of a button, where the validation automatically takes place and potential new monitoring instruments are also automatically created. Additionally, a PDF report of all monitoring instruments can be made to view the history of all monitoring data in a dossier. 


![Zakbaakregistratie - zakbaken op de kaart](https://cms.viktor.ai/uploads/Zakbaakregistratie_zakbaken_op_de_kaart_7c54aae365.png)

*Overview of all monitoring location on the map*

</br>

![Zakbaakregistratie - zettingsmetingen](https://cms.viktor.ai/uploads/Zakbaakregistratie_zettingsmetingen_fa1d757c09.png)

*Overview of all settlement measurements*

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### Automatic validation

Measurements are validated within the application to automatically recognize errors, such as a ground settlement monitoring instrument that has been run over, or rising ground level profiles. Users can determine the threshold for the validation themselves. Results of the validation can be viewed in both an overview list and on the map. 

![Zakbaakregistratie - validatieresultaten metingen](https://cms.viktor.ai/uploads/Zakbaakregistratie_validatieresultaten_metingen_8aaff17ec7.png)

*Overview of the measurement validation results*

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### Report functionality

The application has a built-in report functionality that automatically creates graphs per ground settlement monitoring instrument. The graphs are interactive, meaning users can zoom in and out to view the behavior of the monitoring instruments in detail. Additionally, users can determine the start date of the graphs themselves. 

All graphs and tables can be accessed through the browser and exported to PDF to be used in reports and presentations – both per monitoring instruments and for entire projects.


![Zakbaakregistratie - rapportage](https://cms.viktor.ai/uploads/Zakbaakregistratie_rapportage_170a6474ac.png)

*PDF report of results*

## Subscription

Interested in the application? Use [this form](https://m.viktor.ai/gsm-app-request-subscription) to sign up for a subscription.

Currently, we offer two subscription types:

- Regular (via Geonius): €150 per month
- VIKTOR customers (via the App Store): €75 per month

If you want to know more about the application or have any other questions, contact Jordy Brouwers (j.brouwers@geonius.nl) or Quinten van Moerbeke (q.vanmoerbeke@geonius.nl).

Infrastructure & Construction

App Store Ground Settlement Monitoring Geonius

Use this web app to centrally register and validate ground settlement monitoring data. 

Central registration and validation of ground settlement monitoring data with web app

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

Original source: [Land+Water](https://mocs698.sharepoint.com/sites/Marketing/Gedeelde%20documenten/Marketing/Land%20+%20Water_%20Artikel%20module%20damwandconstructies%20%20ism%20Viktor.pdf), nr 3 – March 2020. K. Nijs / R. Reurings.

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Companies in construction and infra are experiencing a turbulent transformation to higher levels of digitalization. The reason for this being that this sector is lagging behind quite significantly compared to other industries. Just like in other sectors, digital transformation is happening on all kinds of aspects and throughout all phases of a project. This means that digital transformation is a relevant topic from tender and engineering to execution and maintenance.
 
Voorbij Funderingstechniek noticed the potential of this transformation in their industry and decided to act upon it. How? By using VIKTOR to automate and optimize part of their processes to be able to generate the best designs fast!

## Process analysis determines potential

For the first step towards building their own app, Voorbij Funderingstechniek started with a process analysis. The goal of this analysis is to gain insight into the impact of automation on business processes and what this means for the current processes. 

This sparked some opportunities. Currently, a sheet pile calculation is still an intensive and iterative process. To come up with a first design, a significant number of variables needs to be considered, such as the layout of the soil, the desired excavation depth, environmental influences, loads, and desired construction phase. This results in one or more normative sections with corresponding starting points. 

After the first design, every small change requires a new model and a new calculation. That means that all files need to be copied and everywhere one parameter, such as the type of sheet pile, the length, or the drainage, needs to be changed manually. In a typical design process, the second design also does not meet all requirements yet. The process of copying and adjusting keeps repeating itself, for every defined section, multiple times. This is exactly where digitization makes a difference; by automating repetitive tasks a lot of time can be won. 

Another complication is that for projects with multiple sheet piles often a ‘normative’ design is used for all sheet piles. Here, a sheet pile is designed as well as possible (within the stated time) and duplicated to all other sheet piles.

![Blog_smart_application_contributes_sustainable_future_construction](https://cms.viktor.ai/uploads/Voorbij_areal_a17012b79f.jpg)


## Cost reduction

By automating the design process, a lot more design iterations can be performed, resulting in cost reduction with regards to materials used and time savings for engineering. Risk of errors becomes close to zero as well because processes are automatically copied, pasted, and adjusted. Additionally, and maybe most importantly, automating processes gives engineers more time to apply their specialist knowledge on more challenging projects to create a real added value. 

With their process analysis, Voorbij identified a couple of opportunities that function as input: 

- Repeatedly copying models
- Inserting variables
- Getting results per section

With a custom application on the VIKTOR platform, these processes can be automated and linked to different steps, such as analyzing CPTs, calculating designs in calculation software, and iterating until the results are sufficient. 

## Web-based

VIKTOR is a web-based platform for the development of online applications with Python. In Voorbij’s application, Python is used to program and guarantee professional and business knowledge, specifically by integrating all relevant data sources and software programs. 

With Voorbij’s VIKTOR app, data and analysis results are centralized and made available through a dashboard to all relevant (authorized) people. This ensures that everyone always has access to all insights and the correct up-to-date information.
 
To automate and later optimize sheet piles designs, the process first needs to be standardized in the application. To achieve standardization, the right ‘recipe’ needs to be discovered that always delivers a good result. Questions asked here are: “How do we process a CPT?” “How do we build the model and how do we process the results?”. Only after everyone agrees on this, automation can follow. 

![CC_Voorbij_sheet_piles](https://cms.viktor.ai/uploads/CC_Voorbij_sheet_piles_180f2cab82.png)

*Result output of the BASEFT Sheet Pile application*

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## Automation

The online application is designed as a central entry point of all variables. It creates the models itself, performs the calculations, and generates a summary of the results. 

If we follow this route, there is no need to perform any repetitive tasks. Do all sections roughly have the same excavation depth? Does the engineer want to iterate sheet pile lengths? In that case, the input only needs to be adjusted in one spot in the application to recalculate all the sections! Fast iterations like this, combined with the results gathered from multiple sections, generate lots of information that can be used to make connections between, for example, drainage and required sheet pile length. 

Automation is of course not restricted to inserting variables and generating models. Other processes, such as drainage, determining head heights (instead of manually inserting these in D-SheetPiling), and more, are automated as well. 

![CC_Voorbij_sheet_piles2](https://cms.viktor.ai/uploads/CC_Voorbij_sheet_piles2_b90017729c.png)

*Parameter input of the BASEFT Sheet Pile application*

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## Optimization 

Now that it is possible to automatically perform multiple sheet pile calculations, optimization can start. The most important question is: What is the goal of the optimization? Is this the cheapest, lowest CO2 emission? Or the easiest executable sheet pile? By specifically defining this goal, a couple of conditions will naturally follow. Based on these conditions, the application calculates the optimal design. This can be in either tens or even thousands of iterations. 

Let’s say that the cheapest sheet pile is your goal. In that case, the application works as follows: If the previous design is more than adequate and has a certain price, the next design can be repeated but for a shorter and lighter sheet pile with a lower price. If this design is no longer adequate, you can take a step back and make the sheet pile a bit heavier, but for a lower price than with the first design. This can be repeated until the optimum is found between price and requirements. 

In essence, digitization of the construction and infra sector should create a distinctiveness because the automation of repetitive work leaves engineers more time for the real and fun thinking. 

Automate the boring. Engineer the awesome! 

## Interested?

Are you interested in this development as well? Visit [www.voorbijfunderigstechniek.nl]( https://www.voorbijfunderingstechniek.nl/technieken/grondkerende-constructies/stalen-damwand) or contact Richard Reurings at r.reurings@voorbijft.nl for more information.


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VoorbijFT uses VIKTOR to automate and optimize part of their processes to be able to generate the best designs fast!

Optimal sheet pile design within reach

## Predicting pile driving times

For many buildings in the Netherlands, a deep foundation is required to make sure that the construction load can be transferred to lower and more stable ground, as massive soil layers that can absorb large foundation loads are often located deep below the surface. The foundations of large structures, such as distribution centers or traffic overpasses, can often require the installation of thousands of piles at these depths. For both cost estimation and planning it is important for [Voorbij Funderingstechniek](https://www.voorbijfunderingstechniek.nl/) to be able to estimate how much time this process requires.

Currently, estimates of pile driving times are done based on information about the soil composition (sand, clay, etc.) of a location, obtained from CPTs. Because the registration of pile data (pile measurements and CPT data from customers) has recently increased significantly, it has now become possible to make (and improve) predictions of pile driving times for future projects by applying machine learning techniques to the available data.

## Machine Learning

Part of Voorbij Funderingstechniek’s service is their ability to invest their time efficiently and predict the progress of projects as accurately as possible. By applying machine learning to the CPT and pile data, they can improve this process – and by that their service as well. 

### Database

Pile driving speed mainly depends on soil properties. By applying a machine learning approach, it becomes possible to predict pile driving speeds. The only requirement for this is that sufficient pile-driving and CPT data has been collected (at the right depths). For this reason, it is very advantageous that Voorbij Funderingstechniek has their own database, called ([Base FT](https://www.voorbijfunderingstechniek.nl/expertise/advies-en-ontwerp/base-ft)), for logging all project data, including pile driving and sounding data.  

### The model

The machine learning algorithm that Voorbij chose for this is a supervised machine learning model that uses an artificial neural network (ANN) to predict pile driving speeds based on CPT data. The algorithm is implemented within the VIKTOR platform, where it is trained on previously measured pile driving speeds and the associated probing data. During the training of the model, the ANN adjust itself in such a way that it can predict the correct pile driving speeds with data from CPT values. In the VIKTOR app, engineers can use training data to train the machine learning model themselves and apply it to projects.

### The application

Voorbij used their training data so that the machine learning model can be applied to two relevant real-world scenarios within their VIKTOR app. The two different scenarios, which will be explained further below, yielded different results in terms of accuracy. The predicted pile driving times were compared with the actual recorded times to determine the accuracy.

#### Scenario 1: Individual projects

In the first scenario, Voorbij first presents the model the results of a test dataset at the start of an individual project. Then they use some pile measurements (10%) as a training data set. Based on this data set, the ANN can then predict pile driving speed for the other piles (90%). The predicted pile driving speeds adapt in this scenario to the speeds of the test data set and can be used to improve the estimation of the total project time. After training, the model can predict pile driving speeds at certain locations as a function of depth at the locations of the test datasets. For example, for one construction project, the model was able to predict the pile driving speed on the test site set with a margin of error of only 10%.

#### Scenario 2: Multiple other locations

In the second scenario, the machine learning model is trained with a complete dataset of pile driving speed measurements from one or multiple other locations. The model also receives a test dataset with pile-driving speed measurements from yet another location. These predictions can then be used to estimate total project time even before the project starts. Because in this scenario the predictions of the model are adjusted to the measurements of the training dataset, this caused the performance of the model to decrease significantly compared to the previously mentioned scenario.

The results of the predictions of the total pile driving times in both scenarios are shown in the graphs for two separate projects with different soil compositions.

![pile foundation application](https://cms.viktor.ai/uploads/AIML_10_de922172d2.svg)

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![Pile foundation application](https://cms.viktor.ai/uploads/AIML_11_ba985d7abf.svg)

*left: scenario 1, right: scenario 2*

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The graph to the right presents the velocity measurements of the less accurately predicted project (scenario 2). Lack of accuracy can be explained, among other things, by the fact that the speed may or may not have been equal to zero at certain moments. The pile driver cannot register this, so the number is rounded to 0 meters per second. Evidence for this can also be seen in the scatter plots. These show the registered pile driving time against the calculated pile driving time. The black dots indicate a speed of 0 meters per second or more. The green dots indicate a speed of 0 meters per second.

## Using the app yourself

An open-source sample version of [the machine learning application](https://www.viktor.ai/blog/63/pile-drive-prediction-with-machine-learning) is now available as well. With the app you can predict pile driving times based on the entered GEF files by applying one of the two machine learning models. The app automatically generates visualizations of the entered GEF files for inspecting the soil structure, classified using the Robertson method. In addition, the app generates force estimation plots as well as a map view of CPT locations.

<div style="padding:56.25% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/690862336?h=97c73422c7&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="Sample app Pile Drive Prediction with Machine Learning"></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>

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Using the app is simple: in only three steps you can predict pile driving times with one of the two machine learning models. 

1.	First, you upload the GEF files. 
2.	Second, you define the parameters.
3.	Third, you check the automatically generated results. 

The app can be used with or without VIKTOR. For those who want to implement the functionality themselves, the open-source code is available via the [GitHub environment of VIKTOR](https://github.com/viktor-platform/sample-machine-learning-pile-driving). You can try the app directly your own VIKTOR environment by using the [free version of VIKTOR](https://www.viktor.ai/try-for-free).


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See how machine learning is used in a VIKTOR app to predict pile driving times. Read more on VIKTOR.ai

Machine learning to predict engineering processes

Predict pile drive times with machine learning

1. An introduction to Artificial Intelligence
2. Artificial Intelligence vs Machine Learning
3. AI and ML in organizations
4. Building a Machine Learning application
5. About VIKTOR

artificial intelligence AI machine learning ML engineering construction

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Have you ever wondered how you can use AI to automate engineering processes? This white paper is for all engineers, managers, or directors that want to know more about applying AI-methods, such as machine learning, in their organization. 

Find out more about the different types of AI and how you can use them to improve and automate (engineering) processes within your organization. You will also see some examples of real AI apps used by organizations in the industry and learn what it takes to build a machine learning application yourself. 

Keep scrolling to download the white paper.

Find how you can use AI automate engineering processes in your organization.

Download the White Paper and get INSPIRED

Have you ever wondered how you can use AI to automate engineering processes? This white paper is for all engineers, managers, or directors that want to know more about applying AI-methods, such as machine learning, in their organization. 

Artificial Intelligence: Engineering and Construction

## 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)

Buildings & Real Estate

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 

A few years ago, [VolkerWessels](https://www.volkerwessels.com/nl/) started looking into ways to arrange parametric design for the automation of their processes. That is when they started using the VIKTOR platform as one of their standard interfaces. With VIKTOR, they could easily develop their own web applications written in Python code without worrying about things like user-management and interface, while at the same time being able to write their own logic, adjust things quickly, and remain close to their end-users. 

In this article, we will dive deeper into the specifics of two of the latest Cloud-based applications that VolkerWessels developed on the [VIKTOR platform](https://www.viktor.ai/platform), used for road surfacing and sheet pile construction.

## The Road Pavement application

The Road Pavement application is developed for the design of asphalt constructions. The application uses input form the CROW, an umbrella organization for multiple market parties, who developed a web tool called OIA (OntwerpInstrumentarium Asfaltverhardingen) with a database that provides all information that is necessary for the calculation of asphalt constructions. 

### Road pavement engineering

Even though this information is very sufficient, running through all calculations that are needed to create a design took road pavement engineers at VolkerWessels KWS@vise a lot of time and manual work. Therefore, they used the VIKTOR platform to develop a Cloud-based Python application that uses [parametric design](https://www.viktor.ai/parametric-design-software) methods to automate and optimize these calculations. 

### Batch calculations 

With the [parametric design](https://www.viktor.ai/blog/46/parametric-design-cloud-engineering-construction) application, they can import data from OIA to create batches of information that are used to automatically calculate designs at the push of a button. It is easy to optimize the designs since height and amount of asphalt can quickly be adjusted. Additionally, results can be found in a clear and visual overview of each road section. This takes a lot of manual labour from the road pavement engineers and leaves more time to analyse and optimise.

See how the application works in this video: 

<div style="padding:56.25% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/664657264?h=ad5a774a5a&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="Road pavement app demo - VolkerWessels (short version)"></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>

## The Sheet Pile application

Because many underground construction projects keep getting more complex, a lot of data needs to be processed and calculations performed in order to generate the designs. Currently, all of this data is manually put into the system. Calculations are performed manually as well. These processes are both time consuming and prone to error. Therefore, VolkerWessels build the Sheet Pile application for automation and optimization.

### Geotechnical engineering

Like many other VIKTOR applications, the Sheet Pile application is used to easily import and read GEF files of CPTs so geotechnical data is centralized in one place and can be used for adjustments. Furthermore, within the web application, geotechnical engineers can easily enter a sheet pile structure and define the phases of construction, such as excavation, load, and groundwater level, on a user-friendly and intuitive interface.

### PLAXIS integration

For these calculations, the high-end finite element program [PLAXIS](https://www.viktor.ai/blog/34/integration-plaxis-python-parametricdesign) is used through an integration with Python and the VIKTOR interface. The input for the PLAXIS calculations can be sent in the background and the result is returned automatically in Excel tables and PLAXIS graphical pictures. This can be done in batch as well. From here, you can see whether there are any adjustments needed. If so, all calculations can be run again (in batch) at the push of a button.

See how the application works in this video:

<div style="padding:56.25% 0 0 0;position:relative;"><iframe src="https://player.vimeo.com/video/664659594?h=02cd1bd6ec&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="Sheet Pile App Demo - VolkerWessels (short version)"></iframe></div><script src="https://player.vimeo.com/api/player.js"></script>

## Future aspirations

VolkerWessels is far from done developing their own Python applications and is working hard on proving people the potential they have, for example by adding new features on demand to their existing tools and developing entirely new ones.

### Digital transformation

According to Guido Bongers, Lead Developer parametric design at VolkerWessels, their applications have a big potential. Currently, adoption is the biggest challenge. Not all intended users are fully convinced of the benefits and prefer to stick to their familiar and traditional ways of working. Therefore, the next step is to start with a professional plan to promote their web applications and train potential users so they can truly be adopted.

> “What I keep noticing is that building an awesome application works out every time. The technical side of the story is all fine. However, what we are really investing in right now is the adoption of these technicalities. We want people to start using the product we made. That is the truely difficult part.” – Guido Bongers, Lead Developer parametric design at VolkerWessels.

### New features

Regarding the Road Pavement application, there is a future version 2.0 in sight which will facilitate the collaboration between more disciplines. When it comes to the Sheet Pile application, VolkerWessels has some new features in mind as well. However, incorporating more disciplines is not one of them. 

> “The Sheet Pile application is for one discipline only: The Geotechnical engineer. This is done to ensure user-friendliness. Sometimes, it can be beneficial to build a large application that brings multiple disciplines together and sometimes it is more beneficial to keep it small and focused. That is the choice the Lead Developer needs to make, keeping the end-user in mind at all times.” – Guido Bongers, Lead Developer parametric design at VolkerWessels

VolkerWessels still has a backlog with all kinds of functions and features that users would like to add to their applications. For the Sheet Pile application, one of these features is for example the addition of the underwater concrete floor. Guido: “That is why it is so great to have your own team to develop your own application. This allows you full freedom to add whatever you want to your app!”  

### Upcoming projects

Besides the previous projects, VolkerWessels is currently working on three other Cloud-based applications as well. And they have more projects on the way. 

> “These are all medium sized projects that last about 3 to 6 months to complete. After that, they can be used constantly. That is 3 to 6 months work from which you can reap the benefits for years!” – Guido Bongers, Lead Developer parametric design at VolkerWessels. 










Road pavement sheet piling parametric desing apps

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Engineers at VolkerWessels build two parametric design apps for the automation and optimization of processes. Learn more on VIKTOR.ai

Optimize structural design processes with Cloud app | VIKTOR.ai

Parametric design apps VolkerWessels contribute to sustainable society

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*





Engineering & Design

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

## 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.

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

It all began with a pilot for a possible first application, on the VIKTOR platform, back in 2021 for underwater concrete floors. This application turned out to be the first of many more to come. Soon, other tools for designing submersible tunnels, noise barriers, underpasses, and more followed. Without comprehensive programming experience, people at Arcadis started developing tools for themselves and their colleagues. Because Arcadis is an international company that works in many countries the aim is to use tooling on platforms all over the world. The VIKTOR platform is one way to realize this.

In this article, we will discuss the first developed tool which by now has been used on several projects. One of those cases is a large underpass and aqueduct in the N247 highway in Broek en Waterland, commissioned by Province of North-Holland. 


![Blog_Arcadis_Rotonde](https://cms.viktor.ai/uploads/Blog_Arcadis_Rotonde_3d11885327.png)

*© Arcadis Architecten (Tom Kramer) commissioned by Province of North-Holland.*

</br>

## Semi to total automation

Why realizing this tool on the VIKTOR platform? For the design of underwater concrete floors, Arcadis always used to work with validated Excel sheets and off-shelf programs to perform calculations. To gather all necessary data to fill such a sheet, a lot of coordination between different divisions is required. This takes up quite a lot of time and is ultimately only good for the calculation of a specific design in one specific situation. That's why Arcadis started looking for a better way to automate this, by adding an extra dimension to the calculations that allowed them to quickly play around with parameters in search for the (cost) optimal   design which fulfills the requirements and is cost effective. 

## From under water concrete to construction pit

So, that's what they did by building a VIKTOR application around the validated Excel sheet. Now they were able to try different input parameters and swiftly asses how these parameters affect their design. To take it a step further, they also decided to link other processes into the application. Through an integration with Deltares’ D-Sheetpiling and D-Foundations, it became possible to automatically calculate tensile piles and sheet piles as part of the design. Additionally, a module was built to upload CPTs, enabling automated analysis of soil layers. Gradually, their tool for under water concrete floors got transformed into an application to calculate the entire construction pit. The application was finalized by adding a cost estimate based upon the generated design.

> “The tool was first created for under water concrete calculations but in the end, it became a total construction pit design-tool. We can now fully calculate the underwater concrete, the pile foundations, and the sheet piles of the construction pit itself.” – Mark van Esseveld, Project Manager at Arcadis

By extracting information from D-Sheetpiling to an Excel file, the tool can read all interaction forces that are transferred from one object to another. The pile reactions are extracted from Excel and sent to D-Foundations, where they're processed and returned as graphical visualizations in the tool's results section. Following the brute force tactic, this process is repeated numerous of times to generate many different design options. 

> “As an engineer, you use a lot of programs; for concrete constructions, sheet pile constructions, and geotechnical constructions. These often need to interact with each other. It’s great if you are somehow able to automate this. VIKTOR is a great way to enable these programs to communicate with each other and take out a lot of error-prone parts.” – Peter Konijnenbelt, Senior Designer at Arcadis

![App1.jpg](https://cms.viktor.ai/uploads/App1_7180d95812.jpg)

*Excavation results from D-Sheetpiling*

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![App2.jpg](https://cms.viktor.ai/uploads/App2_94ab4f1d34.jpg)

*Optimal pile tip levels from D-Foundations*

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## Optimal design based on costs

Usually, costs are determined based on the calculated construction. For this tool, however, a cost component was added; the construction is automatically calculated but at the same time also optimized based on cost parameters, like the amount of steel and installation costs. In the end, each design gets matched with a price tag based on the input parameters. Then, either Arcadis or a client can choose a design based on price per square meter construction pit, as can be seen in the image below.


![App4.jpg](https://cms.viktor.ai/uploads/App4_61703132b4.jpg)

*Presentation of the optimization results via a parallel coordinates plot*

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![App5.jpg](https://cms.viktor.ai/uploads/App5_b83d2e2694.jpg)

*Alternative representation of the optimization results via a contour plot*

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> “We can basically say: “We can provide the client a full and transparent insight in a valid design spectrum given a preset range for several parameters”. Based upon this insight, a preferred design (e.g. cost/preferred dimensions) can be selected. Thus, the basis for the design of a construction pit can be determined for any given № of cross sections” – Mark van Esseveld, Project Manager at Arcadis   

## The most significant benefit

Regarding the question about the most significant benefit of their tool, Arcadis agrees on the improved work-efficiency. Mark: “… and with that we can offer good work for a good price, which is a big advantage for our client. We can consider the design spectrum in higher detail in less time, which means we can do more at the same cost whilst the design is being optimized simultaneously”.

Where Arcadis first needed two colleagues – a designer and geotechnical engineer – to work on a project, it's now possible for one colleague to calculate the entire construction pit in much less time. Only some basic Geotechnical and structural knowledge is required here. Of course, specialists are involved to check the calculated results, but less time is needed because steps are automated. All steps of the process are integrated in one system with multiple colleagues, meaning all in- and output is programmed and runs smoothly. Intermediate steps are taken out of the equation (i.e. transfer of data), saving time and reducing chance of errors.

> “The user-friendliness in the design process through which the designer or geotechnical engineer is guided makes it a lot easier for them to do their job.” – Mark van Esseveld, Project Manager at Arcadis

## Tools for non-experts

With a broad range of features, the construction pit tool is widely used within Arcadis. For example, by both the Construction and Geotechnics divisions, who use the tool to specify project details. And when it comes to pricing, the Costs division gets involved too. Thanks to the user-friendly and intuitive interface, using the tool is no problem for non-experts.

> “The VIKTOR platform is very user-friendly for colleagues who are less committed to programming, scripting, coding, all that stuff. They simply use the tools and are assisted in an intuitive manner. This characterizes itself through a good process flow that guides users through the design steps. Another big benefit is the calculation output being depicted and visualized very clear and efficiently. The calculations speed also rises significantly, the quality increases, and generation of calculation reports becomes easier.” – Mark van Esseveld, Project Manager at Arcadis

## Organization-wide development

Besides the divisions that already worked with the tool, other parts of the organization are affected by it as well. For example, a lot of code is currently available from all the projects colleagues at Arcadis have been working on, which can be reutilized to build new applications in the future. 

> “We are composing a beautiful code library that makes it more profitable to create apps for specific projects later on.” – Peter Konijnenbelt, Senior Designer at Arcadis

An example of such a spin-off application is the construction pit tool used in the Buildings   and Water division, inspired by the construction pit tool from this article. Where the original tool was created for tunnels and underpasses, this one is used for buildings. All by simply altering some parts of the code!



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Arcadis builds user-friendly web apps with VIKTOR to automate and optimize engineering processes.

Customer cases

Arcadis accelerates digital transformation with VIKTOR