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| Structural reliability analysis based on particle swarm optimization AK-MCS method |
| Received:April 21, 2022 Revised:June 01, 2022 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20220421001 |
| KeyWord:surrogate model failure probability particle swarm optimization trusswork reliability analysis |
| Author | Institution |
| 姜封国 |
黑龙江科技大学 建筑工程学院, 哈尔滨 |
| 于正 |
黑龙江科技大学 建筑工程学院, 哈尔滨 |
| 白丽丽 |
哈尔滨工程大学 航天与建筑工程学院, 哈尔滨 |
| 周玉明 |
黑龙江科技大学 建筑工程学院, 哈尔滨 |
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| Abstract: |
| A Kriging surrogate model has been widely used in reliability analysis due to its favourable nonlinear fitting ability.In order to improve the modeling efficiency of a Kriging model,a hybrid particle swarm optimization AK-MCS method is proposed in this paper.The method reduces the number of iterations of the surrogate model construction and improves the global optimization capability of the model while ensuring the model accuracy.Taking a 10-bar truss structure as the research object,the failure probability of the truss structure was determined quickly by establishing the proxy model between the control displacement of the structure,the section area of the rod and the concentrated load.The results show that the proposed method can effectively improve the modeling efficiency and accuracy of a Kriging model,and is feasible in the calculation of complex engineering structures. |