基于改进鲸鱼算法的结构可靠性优化设计

doi:10.13229/j.cnki.jdxbgxb.20211421

Abstract

Abstract:

In order to solve the problem of Whale Optimization Algorithm （WOA） in its lacking global search capability in the later stage， this paper puts forward an improved whale optimization algorithm （IWOA） based on cloud adaptive inertial weights and differential evolution. Besides， considering the uncertain factors of some uncertainty factors of engineering structures， such as external loads and material strength， the system reliability of structures is also used in the optimization design as a constraint condition to optimize the minimum weight of the structure. In addition， related optimization models are built to optimize the calculating examples. The results show that the improved whale optimization algorithm is featured by fast convergence speed， better solution accuracy and stability in the process of reliability-based optimization design. Therefore， it turns out to be an effective optimization design method.

Key words: whale optimization algorithm, adaptive inertia, truss structure, reliability optimization

CLC Number:

TB114.3

Li-li BAI,Feng-guo JIANG,Yu-ming ZHOU,Xiao ZENG. Optimized design of structure reliability based on improved whale algorithm[J].Journal of Jilin University(Engineering and Technology Edition), 2023, 53(11): 3160-3165.

Figures/Tables 4

Fig.1

Fig.2

Table 1

Optimal design results of statically determinate 13-bar truss structure"

杆件编号及参数	杆件横截面积/ $c m 2$
杆件编号及参数	对偶规划法^［3］	WOA	IWOA
1，7	19.06	19.1019	19.0346
2，8	13.56	13.7032	13.6251
3，9，12，13	11.37	11.3541	11.3802
4，10	11.66	11.6156	11.7029
5，11	3.638	3.2713	3.3098
6	8.729	8.7890	8.7251
重量/kg	137.6	136.9912	136.9753
平均重量/kg	-	137.0867	137.0247
标准差	-	0.0721	0.0261

Table 1

Fig.3

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Optimized design of structure reliability based on improved whale algorithm

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