Multi-objective robust design optimization of fatigue life for a welded box girder

被引：11

作者：

Wu, Yaozhong ^{[1
]}

Li, Weijia ^{[1
]}

Fang, Jianguang ^{[2
]}

Lan, Qiuhua ^{[3
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Naval Architecture & Ocean Engn, Wuhan, Hubei, Peoples R China

[2] Univ Technol Sydney, Sch Civil & Environm Engn, Ctr Built Infrastruct Res, Sydney, NSW, Australia

[3] Huazhong Univ Sci & Technol, Sch Energy & Power Engn, Wuhan, Hubei, Peoples R China

来源：

ENGINEERING OPTIMIZATION | 2018年 / 50卷 / 08期

关键词：

Multi-objective robust optimization; fatigue design; dual surrogate model; particle swarm optimization; HEAVY MINING EQUIPMENT; PREDICTION; CRASHWORTHINESS; CONSTRAINTS; PSO; PERFORMANCE; ALGORITHM; ENSEMBLE; REDESIGN; MODEL;

D O I：

10.1080/0305215X.2017.1395023

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

To reduce the scatter of fatigue life for welded structures, a robust optimization method is presented in this study based on a dual surrogate modelling and multi-objective particle swam optimization algorithm. Considering the perturbations of material parameters and environment variables, the mean and standard deviation of fatigue life are fitted using dual surrogate modelling and selected as the objective function to be minimized. As an example, a welded box girder is presented to reduce the standard deviation of fatigue life. A set of non-dominated solutions is produced through a multi-objective particle swam optimization algorithm. A cognitive approach is used to select the optimum solution from the Pareto sets. As a comparative study, traditional single objective optimizations are also presented in this study. The results reduced the standard deviation of the fatigue life by about 16.5%, which indicated that the procedure improved the robustness of the fatigue life.

引用

页码：1252 / 1269

页数：18

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