Fully Constrained Design: A general and scalable method for discrete member sizing optimization of steel truss structures

被引:32
作者
Flager, Forest [1 ]
Soremekun, Grant [2 ]
Adya, Akshay [3 ]
Shea, Kristina [4 ]
Haymaker, John [5 ]
Fischer, Martin [1 ]
机构
[1] Stanford Univ, CIFE, Stanford, CA 94305 USA
[2] Phoenix Integrat Inc, San Francisco, CA 94115 USA
[3] Bentley Syst, Walnut Creek, CA 94596 USA
[4] ETH, Engn Design & Comp Lab, CH-8092 Zurich, Switzerland
[5] Georgia Tech, Sch Architecture & Bldg Construct, Atlanta, GA 30332 USA
关键词
Structural optimization; Size optimization; Discrete variables; Steel structures; Frame; Truss; GENETIC ALGORITHMS; OPTIMALITY CRITERIA; VARIABLES;
D O I
10.1016/j.compstruc.2014.05.002
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Fully Constrained Design (FCD) is a new method for discrete sizing optimization of steel structures that balances computational efficiency with solution quality for application to large-scale problems. The proposed method is based on optimality criteria, but does not require gradient information and handles discrete variables. Based on benchmarking studies, FCD produces superior quality solutions to optimality criteria (>4%), but inferior to heuristic methods (<2%). FCD is approximately 10 x less computationally efficient than optimality criteria and 100x more efficient than heuristic methods. We present a successful industry application of FCD that yields cost savings of 19% compared to conventional design methods. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:55 / 65
页数:11
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