Mathematical and Metaheuristic Applications in Design Optimization of Steel Frame Structures: An Extensive Review

被引:75
作者
Saka, Mehmet Polat [1 ]
Geem, Zong Woo [2 ]
机构
[1] Univ Bahrain, Dept Civil Engn, Isa Town, Bahrain
[2] Gachon Univ, Dept Energy & Informat Technol, Songnam 461701, South Korea
关键词
PARTICLE SWARM OPTIMIZER; HARMONY SEARCH ALGORITHM; RESISTANCE FACTOR DESIGN; OPTIMUM GEOMETRY DESIGN; MINIMUM WEIGHT DESIGN; GENETIC ALGORITHM; OPTIMALITY CRITERIA; ANT COLONY; EVOLUTION STRATEGIES; TRUSS STRUCTURES;
D O I
10.1155/2013/271031
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The type of mathematical modeling selected for the optimum design problems of steel skeletal frames affects the size and mathematical complexity of the programming problem obtained. Survey on the structural optimization literature reveals that there are basically two types of design optimization formulation. In the first type only cross sectional properties of frame members are taken as design variables. In such formulation when the values of design variables change during design cycles, it becomes necessary to analyze the structure and update the response of steel frame to the external loading. Structural analysis in this type is a complementary part of the design process. In the second type joint coordinates are also treated as design variables in addition to the cross sectional properties of members. Such formulation eliminates the necessity of carrying out structural analysis in every design cycle. The values of the joint displacements are determined by the optimization techniques in addition to cross sectional properties. The structural optimization literature contains structural design algorithms that make use of both type of formulation. In this study a review is carried out on mathematical and metaheuristic algorithms where the effect of the mathematical modeling on the efficiency of these algorithms is discussed.
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页数:33
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