Optimization of spatial truss towers based on Rao algorithms

被引:9
|
作者
Grzywinski, Maksym [1 ]
机构
[1] Czestochowa Tech Univ, Fac Civil Engn, PL-42200 Czestochowa, Poland
关键词
allowable stress; buckling; Rao algorithms; size and shape optimization; tower structures; PARTICLE SWARM OPTIMIZATION; LEARNING-BASED OPTIMIZATION; LAYOUT OPTIMIZATION; DESIGN OPTIMIZATION; DIFFERENTIAL EVOLUTION; TOPOLOGY OPTIMIZATION; SIZING OPTIMIZATION; SIZE OPTIMIZATION; GENETIC ALGORITHM; DOME STRUCTURES;
D O I
10.12989/sem.2022.81.3.367
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this study, combined size and shape optimization of spatial truss tower structures are presented by using new optimization algorithms named Rao-1, and Rao-2. The nodal displacements, allowable stress and buckling for compressive members are taken into account as structural constraints for truss towers. The discrete and continuous design variables are used as design variables for size and shape optimization. To show the efficiency of the proposed optimization algorithm, 25-bar, and 39-bar 3D truss towers are solved for combined size and shape optimization. The 72-bar, and 160-bar 3D truss towers are solved only by size optimization. The optimal results obtained from this study are compared to those given in the literature to illustrate the efficiency and robustness of the proposed algorithm. The structural analysis and the optimization process are coded in MATLAB programming.
引用
收藏
页码:367 / 378
页数:12
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