Optimum load and resistance factor design of steel space frames using genetic algorithm

被引:25
作者
Hayalioglu, MS [1 ]
机构
[1] Dicle Univ, Dept Civil Engn, TR-21280 Diyarbakir, Turkey
关键词
optimization; space frames; genetic algorithm; AISC; LRFD; ASD;
D O I
10.1007/s001580100106
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, an algorithm is presented for the minimum weight design of steel moment-resisting space frames subjected to American Institute of Steel Construction (AISC) Load and Resistance Factor Design (LRFD) specification. A genetic algorithm (GA) is utilized herein as the optimization method. Design variables which are cross-sectional areas are discrete and are selected from the standard set of AISC wide-flange (W) shapes. The structure is subjected to wind loading in accordance with the Uniform Building Code (UBC) in conjunction with vertical loads (dead and live loads). Displacement and AISC LRFD stress constraints are imposed on the structure. The algorithm is applied to the design of three space frame structures. The designs obtained using AISC LRFD code are compared to those where AISC Allowable Stress Design (ASD) is considered. The comparisons show that the former code results in lighter structures for the examples presented.
引用
收藏
页码:292 / 299
页数:8
相关论文
共 16 条
[1]   AUGMENTED LAGRANGIAN GENETIC ALGORITHM FOR STRUCTURAL OPTIMIZATION [J].
ADELI, H ;
CHENG, NT .
JOURNAL OF AEROSPACE ENGINEERING, 1994, 7 (01) :104-118
[2]  
*AM I STEEL CONSTR, 1989, MAN STEEL CONSTR ALL
[3]  
*AM I STEEL CONSTR, 1995, MAN STEEL CONSTR LOA
[4]  
[Anonymous], 1989, GENETIC ALGORITHM SE
[5]   AN OPTIMALITY CRITERIA ALGORITHM FOR TALL STEEL BUILDING DESIGN USING COMMERCIAL STANDARD SECTIONS [J].
CHAN, CM .
STRUCTURAL OPTIMIZATION, 1992, 5 (1-2) :26-29
[6]  
CHAN CM, 1993, STRUCTURAL DESIGN TA, V2, P17, DOI DOI 10.1002/TAL.4320020103
[7]  
HOLLAND JH, 1975, ADAPTATION NATURAL A
[8]   MINIMUM WEIGHT DESIGN OF TRUSSES USING IMPROVED MOVE LIMIT METHOD OF SEQUENTIAL LINEAR-PROGRAMMING [J].
JOHN, KV ;
RAMAKRISHNAN, CV ;
SHARMA, KG .
COMPUTERS & STRUCTURES, 1987, 27 (05) :583-591
[9]  
Leite JPB, 1995, DEVELOPMENTS IN NEURAL NETWORKS AND EVOLUTIONARY COMPUTING FOR CIVIL AND STRUCTURAL ENGINEERING, P143, DOI 10.4203/ccp.34.7.2
[10]  
Ming-Zhu D., 1986, Eng. Optim., V9, P303