Removing shared faces in 3D datasets for numerical simulations

Removing shared faces in 3D datasets for numerical simulations

Therias, Adele (TU Delft Architecture and the Built Environment)
Theodoridou, Eleni (TU Delft Architecture and the Built Environment)
PAPADIMITRIOU, CHRYSANTHI (TU Delft Architecture and the Built Environment)
Visser, Fabian (TU Delft Architecture and the Built Environment)
Zhang, Fengyan (TU Delft Architecture and the Built Environment)
Panagiotidou, Ioanna (TU Delft Architecture and the Built Environment)

Garcia Sanchez, C. (mentor)
Pađen, I. (graduation committee)

Delft University of Technology

Geomatics

2022-11-09

Currently more than 4 billion people live in urban areas around the globe, a trend that is expected to be increased in the upcoming years. While urbanisation provides the space for innovation and new opportunities, in the meantime physical, technical and social challenges are rising and the cities’ vulnerability is increasing. A tool to tackle these issues are Computational Fluid Dynamics
(CFD) simulations, which can provide insight in various topics.

CFD simulations are valuable for modelling complex urban phenomena such as wind flow, microclimates and thermal comfort. A CFD requires as an input a 3D geometric dataset that represents objects in the urban environment which are most commonly buildings and then according to this input the air flow is simulated around it.

When creating geometries automatically for CFD simulations, several clean up tasks must be completed for them to be usable without any issues. One of the problems arising is related to the redundant faces shared between adjacent buildings, which have no purpose for outdoor flow simulations and cause complications when creating the mesh that is needed for the CFD. This
synthesis project focuses on addressing the aforementioned issue by removing the shared faces.

The ultimate goal of this project was to create an open-source product that can efficiently and in an automated way remove the adjacent faces between buildings. The benefits will be imminent during the meshing process, as we strive to reduce the time that consultancies spend fixing the input geometries before running a CFD simulation, along with an overall improved user experience.

This report is organised in four main sections. The first section is the general introduction of the issue that needs to resolved. The second section defines more in depth the problem and sets the research questions, in accordance to that, in the third section the research methodology is developed. In the fourth section the results of both methods are presented. The fifth sectionfocuses on a reflection of the project, while the sixth section presents the final conclusions. Finally, the seventh section contains the specifics of the project management itself.

The project was carried out in cooperation with Dassault Syst`emes and is developed in the context of the GEO1101 course in MSc Geomatics TU Delft. In addition to this report we have created a GitHub repository (https://github.com/Fabisser/facesBgone) that contains the source code of the two methods.

CFD
Geometry Preparation
Adjacent faces
3D modelling

http://resolver.tudelft.nl/uuid:d818a87a-9c98-403a-aaa4-3ad80b360f72

https://github.com/Fabisser/facesBgone R GitHub Repository of "facesBgone" project.

Student theses

student report

© 2022 Adele Therias, Eleni Theodoridou, CHRYSANTHI PAPADIMITRIOU, Fabian Visser, Fengyan Zhang, Ioanna Panagiotidou