Events

 
PhD Thesis Presentation
Architectural Design and Geometry Optimization

by Weidan XIONG

Date
 :  13 Dec 2018 (Thu)
Time
 :  10am
Venue  :  Room 4472 (Lifts 25-26), 4/F Academic Building, HKUST

Thesis Examination Committee
Prof Jimmy Chi Hung FUNG, MATH/HKUST (Chairperson)
Prof Pedro SANDER, ECE/HKUST (Thesis Supervisor)
Prof Ajay JONEJA, ISD/HKUST (Thesis Co-supervisor)
Prof Weiyin MA, Department of Mechanical Engineering, City University of Hong Kong (External Examiner)
Prof Qifeng CHEN, ECE/HKUST
Prof Roger Shu Kwan CHENG, ECE/HKUST
Prof Huamin QU, CSE/HKUST
 
Abstract
Humans have tried to build complex and aesthetic functional architectural forms since earliest civilizations. The design and construction cycle is non-trivial and often completed by tedious manual work. Furthermore, design may not be optimal in terms of constructions costs or risks. With the rapid development of computer science and technology, various architectural modeling, analysis and optimization techniques have been proposed to improve the level of design automation and to accelerate the design and construction processes. In this thesis, we develop geometric algorithms to focus on three sub-problems in the pipeline.
 
First, for very early stages of architectural design, we develop an approach called shape inspired architectural design (SIAD). Various aesthetic and structural requirements are enforced on the 3-dimensional initial design based on a small set of inspirational images. To solve this problem, we develop a modified cuckoo search algorithm. Furthermore, a novel iterative mesh smoothing algorithm that yields a smooth surface while preserving sharp creases and roof structures is also developed.
 
Second, we explore an interactive technique in planning the required key space within given architecture model with user-specified 3d room elements. The size and location of each instance is a parameter in a global optimization problem. By coupling this optimization with our SIAD, we can construct good initial conceptual designs.  
 
Third, we tackle a problem in rationalization of building space structure made up of a mesh of steel links connected at joints. Given a structural mesh, we introduce a methodology called joint based architectural surface re-meshing to reduce the fabrication cost. The rationalization is achieved via the use of a new k-set clustering of the joints. A heuristic is also developed to minimize the number of clusters in a given mesh by re-meshing it via a sequence of small topology preserving perturbations. 
 
 
*** ALL ARE WELCOME !! ***