Size, shape, and topology optimization of planar and space trusses using mutation-based improved metaheuristics

Graphical abstract Graphical Abstract AbstractIn this study, simultaneous size, shape, and topology optimization of planar and space trusses are investigated. Moreover, the trusses are subjected to constraints for element stresses, nodal displacements, and kinematic stability conditions. Truss Topol...

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Vydané v:Journal of computational design and engineering Ročník 5; číslo 2; s. 198 - 214
Hlavní autori: Tejani, Ghanshyam G., Savsani, Vimal J., Patel, Vivek K., Savsani, Poonam V.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford University Press 01.04.2018
한국CDE학회
Predmet:
기계공학
Mutation operator
Improved metaheuristics
Structural optimization
Modified algorithms
Truss topology optimization
ISSN:2288-5048, 2288-4300, 2288-5048
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Shrnutí:Graphical abstract Graphical Abstract AbstractIn this study, simultaneous size, shape, and topology optimization of planar and space trusses are investigated. Moreover, the trusses are subjected to constraints for element stresses, nodal displacements, and kinematic stability conditions. Truss Topology Optimization (TTO) removes the superfluous elements and nodes from the ground structure. In this method, the difficulties arise due to unacceptable and singular topologies; therefore, the Grubler's criterion and the positive definiteness are used to handle such issue. Moreover, the TTO is challenging due to its search space, which is implicit, non-convex, non-linear, and often leading to divergence. Therefore, mutation-based metaheuristics are proposed to investigate them. This study compares the performance of four improved metaheuristics (viz. Improved Teaching–Learning-Based Optimization (ITLBO), Improved Heat Transfer Search (IHTS), Improved Water Wave Optimization (IWWO), and Improved Passing Vehicle Search (IPVS)) and four basic metaheuristics (viz. TLBO, HTS, WWO, and PVS) in order to solve structural optimization problems. Highlights Improvements in four recently designed metaheuristics.Use of random mutation-based search technique.Applications on challenging/benchmark problems of simultaneous size, shape, and topology optimization of truss structures.Improvements effective over basic metaheuristics.
ISSN:2288-5048
2288-4300
2288-5048
DOI:10.1016/j.jcde.2017.10.001