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| Received:November 12, 2014 Revised:March 14, 2015 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201602001 |
| KeyWord:hybrid reliability probability model evidence theory reliability interval |
| Author | Institution |
| 姜潮 |
湖南大学 汽车车身先进设计制造国家重点实验室, 长沙 |
| 范松 |
湖南大学 汽车车身先进设计制造国家重点实验室, 长沙 |
| 张哲 |
湖南大学 汽车车身先进设计制造国家重点实验室, 长沙 |
| 倪冰雨 |
湖南大学 汽车车身先进设计制造国家重点实验室, 长沙 |
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| Abstract: |
| An efficient reliability analysis method for structure has been proposed,whose inputs consist of both probable variables and evidence variables.The method greatly reduces the computation cost of reliability analysis with mixture of aleatory and epistemic uncertainty,at the same time its result has high accuracy.In the method,a uniformity approach is used to deal with evidence variables,and then the concept of most probable point (MPP) in probability theory is introduced to reliability analysis for hybrid model,which has both aleatory and epistemic uncertainty.A first order Taylor expansion is expanded at MPP,which is used for reliability analysis as approximation model instead of the original performance function.Finally,three numerical examples are analyzed to demonstrate the effectiveness of the present method. |
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