Parametric Digital Twins
In this workshop we aim to explore the cutting edge of parametric design and Digital Twin technologies, and through this exploration gain and share a deeper understanding of how a combination of these technologies might lead to a whole new way of environment-driven design.
As parametric design methods are being adopted more and more in the AEC industries and new systems are developing, an opportunity arises to more accurately inform the design of buildings with information from their environments. With traditional design methods, the building environment is often included as a static representation, based on a series of measurements taken during a specific timeframe.
With the advent of the Internet of Things (IoT), and more specifically network enabled sensors, a more accurate, real-time representation of an environment can be acquired. By continuously acquiring data points in the area of interest, and interpreting this data, a Digital Twin of the environment can be established. This Digital Twin can be further enhanced by expanding the data acquisition beyond sensors to for instance include public opinions, sentiments and experiences of the environment through app-based questionnaires. In this way a rich representation of the environment can be captured.
Thanks to the adaptable nature of parametric designs, they are able to respond to the information contained in the Digital Twin of the environment and adjust the 3D geometry and other design data accordingly. In this way, a truly environment-driven design can be created.
During the workshop a Digital Twin of a specific environment, namely the symposium exhibition space, will be established. Parametric designs will be made which can interact with changes in this Digital Twin in (near) real-time. By integrating these two parts on a cloud-based parametric platform, real-time environment-driven designs can be displayed during the exhibition.
Target audience and pre-expected knowledge
The target audience for this workshop consists of innovators in the AEC industries, parametric design enthusiasts and PhD or MSc-students. Whilst not absolutely necessary, some familiarity with parametric modelling is considered useful. Creativity is required to come up with ideas for interactive design options, which can be realized during the workshop. Example cases are available in case no feasible designs come up. For the participants involved in sensor building basic knowledge on hardware, soldering, etc. is required.
- Introduction parametrics
- Introduction Digital Twins
- Hands-on sessions
- Discussion progress
- Introduction cloud-based parametrics
- Hands-on sessions
- Conclusion and presentation materials
Founded White Lioness technologies after founding and heading the computational group at Arup in Amsterdam. Jeroen completed a PhD research on the next generation of structural design tools and NetworkDesign at the Faculty of Civil Engineering and Geosciences at Delft University of Technology and has founded multiple research laboratories for computational design. His specialities include: software development, computational design, optimisation, parametric and associative design, BIM, custom tool-building, teams and public speaking.
Project engineer at White Lioness technologies with an educational background in civil/ structural engineering at Delft University of Technology, Netherlands, and Lehigh University, USA. Her specialities include: parametric and associative design, computational design and structural engineering.
Project engineer at White Lioness technologies with an educational background in civil engineering at Delft University of Technology, Netherlands. His specialities include: parametric and associative design, computational design, 3D printing and -scanning and hardware tinkering.
Project engineer at White Lioness Technologies with an educational background in civil engineering & building project management at the Vienna University of Technology, Austria and ESTP Paris / ESITC Caen, France. Her specialities include: parametric design, green infrastructure planning, GIS analysis and interdisciplinary design.