Shape optimization of free-form grid structures based on the sensitivity hybrid multi-objective evolutionary algorithm

In this paper, a novel shape optimization method is proposed to improve the mechanical performance of the free-form grid structures while satisfying the architectural requirements. The height of control points are considered as the optimization variables, the structural strain energy and the compreh...

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Vydané v:	Journal of Building Engineering Ročník 44; s. 102538
Hlavní autori:	Wang, Zhicheng, Cao, Zhenggang, Fan, Feng, Sun, Ying
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2021
Predmet:	Free-form grid structures Geometric comprehensive quantitative index Pareto solution set Sensitivity hybrid multi-objective evolutionary algorithm Shape optimization Geometric comprehensive quantitative index Pareto solution set Free-form grid structures Sensitivity hybrid multi-objective evolutionary algorithm Shape optimization
ISSN:	2352-7102, 2352-7102
On-line prístup:	Získať plný text
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Popis
Shrnutí:	In this paper, a novel shape optimization method is proposed to improve the mechanical performance of the free-form grid structures while satisfying the architectural requirements. The height of control points are considered as the optimization variables, the structural strain energy and the comprehensive quantitative index are considered as optimization objectives. The sensitivity hybrid multi-objective evolutionary algorithm (referred to as SH-MOEA) is developed and the shape optimization of the free-form grid structures is carried out based on the developed algorithm. The optimization results are compared with those based on NGSA-II, SPEA2 and MOEA/D algorithms. The results demonstrate that the developed algorithm not only can obtain the Pareto optimal solution set with better accuracy and uniformity, but also indicates higher computational efficiency than other three algorithms. The similarity of surface, the fluence and regularity of free-form grids are effectively improved by considering the geometric comprehensive quantitative index as the optimization objective. •A hybrid multi-objective optimization algorithm is developed.•The accuracy and computational efficiency of the multi-objective optimization algorithm is improved.•A novel shape optimization method of the free-form grid structures is proposed.•The mechanical performance, similarity of surface, the fluence and regularity of free-form grids are effectively improved.
ISSN:	2352-7102 2352-7102
DOI:	10.1016/j.jobe.2021.102538