DocumentCode :
3222851
Title :
Interactive particle swarm optimization for the architectural design of truss structures
Author :
Felkner, Juliana ; Chatzi, Efstathia ; Kotnik, Toni
Author_Institution :
Dept. of Civil Eng., ETH Zurich, Zurich, Switzerland
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
15
Lastpage :
22
Abstract :
This paper presents an interactive framework for the design of truss structures with aesthetic criteria. The truss chords are described using NURBS, a tool widely used in computer aided design (CAD) programs to describe free-form geometry. This allows for a convenient interface between the optimization scheme, a particle swarm optimizer, and the user. Driven from the fact that aesthetic design goals are not easily quantifiable, key elements are introduced and implemented herein towards an interactive framework for algorithmic design of truss structures. Within this framework, the user can visually assess interesting solutions, save them for later assessment, actively drive the optimization towards individual aims, re-initialize the optimization with a set of available solutions, or restart the design process. A criterion is introduced as a means of quantifying subjective goals, expressing the similarity of the shape of candidate solutions with respect to reference designs. The framework is tested on a benchmark case and then applied to the design of a truss tower. The effectiveness of the similarity criteria, as well as the ability of the user to drive the process towards specific design goals is demonstrated.
Keywords :
architecture; design engineering; particle swarm optimisation; supports; CAD programs; NURBS; aesthetic criteria; aesthetic design; algorithmic design; architectural design; computer aided design; design process; free-form geometry; interactive framework; interactive particle swarm optimization; optimization scheme; particle swarm optimizer; truss chords; truss structure design; truss structures; truss tower; Algorithm design and analysis; Optimization; Shape; Splines (mathematics); Surface reconstruction; Surface topography; Topology; FEM; NURBS; PSO; architecture; structural engineering; user interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Engineering Solutions (CIES), 2013 IEEE Symposium on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CIES.2013.6611723
Filename :
6611723
Link To Document :
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