Multi-objective robust design optimization of fatigue life for a welded box girder |
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| Authors: | Yaozhong Wu Jianguang Fang Qiuhua Lan |
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| Affiliation: | 1. School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, PR China;2. Centre for Built Infrastructure Research, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, Australia;3. School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, PR China |
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| Abstract: | 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. |
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| Keywords: | Multi-objective robust optimization fatigue design dual surrogate model particle swarm optimization |
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