Industrial Consultation | Genesis Lab

DYNABOX

Mon, 08 Feb 2021 19:02:47 +0000

Team: Dr.ir. P. Nourian, ir. S. Azadi, ir. P. Flickweert, Ir. J.J.J.G.Hoogenboom, Prof.dr.ir. I.S. Sariyildiz

Key words: Modular Architecture, Product Configurator, Combinatorial Design, Procedural Design

In this report, we present an overview of the latest industrial/practical and academic/theoretical solutions and approaches currently available or known to the public for mass customization of building construction, particularly housing and office buildings. We start by looking at the process of mass-customization, focusing on the fabrication approaches. Then we investigate the parametric/continuous approach to customization versus the combinatorial/discrete approach to customization; make a comparison between them and draw conclusions on the most promising approaches. Finally, we conclude with a proposed computational design approach, a list of priorities and essential steps for future innovation and development, and depict a prospect for digital masscustomization of construction.

PanaromaMesh

Mon, 08 Feb 2021 19:02:47 +0000

Team: Ir. J. Chen, Ir. R. Šilerytė, Ir. K. Zhou, Dr.ir. P. Nourian, Prof.dr. Dipl. Ing. S. Zlatanova

Key words: Hough Transform, Computational Geometry, Shape Simplification, Voxel-Based Region Growing, Panoramic Photographs, Point Cloud, 3D Reconstruction

CycloMedia is a Dutch company specialized in the large-scale and systematic visualization of environments based on 360°panoramic photographs. The images are captured from public roads at street level, using a car to carry a panoramiccamera system. High resolution spherical panoramas are geometrically correct and thus allow auser to perform photogrammetric 3D measurements anduse imagery for 3D modelling and texture mapping. Drawing 3D point cloud (or rather pixel cloud) is a relatively new approach to use panoramic images. Currently there is no completely steady and consummate method to reconstruct digital building models from point clouds, thus this projectaims topropose an innovativeand practicalframeworkofbuildingreconstructionin particular. The developed method uses segmentation by region growing based on normals and curvature, constructing topology between segments by Voronoi partitioning,shape simplification by segmented least squares and principal component analysis methods. The method proves to have goodresults while tested on Lidar point clouds, however with some modifications is also applicable to pixel clouds obtained from panoramic imagery.

SpectraLearning

Mon, 08 Feb 2021 19:02:47 +0000

Team: Ir. R. Sulzer, Dr.ir. P. Nourian, Dr.ir. M. Palmieri, Dr.ir. J. van Gemert

Key words: Machine Learning, Shape DNA, Shape Descriptor, Pattern Recognition, Automatic Classification

In this research, our focus lies on the extraction of detailed geometric information from a point cloud gained by aerial laser scanning. We thereby follow the assumption that similar structural systems and materials can be inferred from geometric similarities. To describe the geometric shape of a building we apply Shape DNA, a spectral shape descriptor based on the eigenvalues of the Laplace-Beltrami operator. In a first experiment on a synthetically generated building stock we succeed in predicting the roof type of different buildings with accuracies above 80%, only relying on the Shape DNA. The experiment shows promising results, however, further research is necessary in order to explore the usability on real building data. In a second experiment we use a sample of buildings from the Groningen building stock. Here we can automatically predict detailed SBST information, such as the type of lateral load resisting system, with accuracies above 80% only by taking a buildings footprint area and year of construction into account.

Dissemination

Peer-Reviewed Publications:

Shape Based Classification Of Seismic Building Structural Types

Graduation Projects:

Shape based classification of seismic building structural types by Raphael Sulzer
Re-thinking the region; Systematic evaluation of residential location choice under disaster risk by Kotryna Valečkaitė