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Interactive Particle Swarm Optimization for the Architectural Design of Truss Structures
被引:0
|作者:
Felkner, Juliana
[1
]
Chatzi, Eleni
[1
]
Kotnik, Toni
[2
]
机构:
[1] ETH, Dept Civil Engn, Chair Struct Mech, IBK, Zurich, Switzerland
[2] ETH, Dept Architecture, Chair Struct Design, ITA, Zurich, Switzerland
来源:
关键词:
PSO;
NURBS;
FEM;
structural engineering;
user interaction;
architecture;
GENETIC ALGORITHM;
EVOLUTIONARY COMPUTATION;
COMPLEX;
SHAPE;
D O I:
暂无
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
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.
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页码:15 / 22
页数:8
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