| 引用本文: | 滑林,吴梵,牟金磊.随机-非概率模型下的船体结构屈服强度可靠性分析.[J].国防科技大学学报,2018,40(6):177-182.[点击复制] |
| HUA Lin,WU Fan,MU Jinlei.Reliability analysis on yielding strength of hull structure based on random non-probabilistic model[J].Journal of National University of Defense Technology,2018,40(6):177-182[点击复制] |
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| 随机-非概率模型下的船体结构屈服强度可靠性分析 |
| 滑林, 吴梵, 牟金磊 |
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(海军工程大学 舰船与海洋学院， 湖北 武汉 430033)
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| 摘要: |
| 针对在役舰船船体载荷、材料属性的随机特性和实船勘验得出的腐蚀损伤下船体抗力区间特性，提出一种基于随机概率理论和区间非概率理论的随机-非概率可靠性分析模型，分别从区间变量随机化和随机变量区间化两个角度给出该模型的可靠性指标求解方法。基于该模型对某舰船船体结构屈服强度进行可靠性分析，结果表明：该模型既体现了结构变量的客观不确定性又减弱了评估结果的盲目保守性，对于既含有随机变量又含有区间变量的在役舰船的可靠性评估具有很强的适用性。 |
| 关键词: 随机-非概率 现役舰船 船体结构 屈服强度 可靠性分析 |
| DOI：10.11887/j.cn.201806025 |
| 投稿日期：2017-03-15 |
| 基金项目:国家自然科学基金资助项目（51309231）；国防基金资助项目（20130752） |
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| Reliability analysis on yielding strength of hull structure based on random non-probabilistic model |
| HUA Lin, WU Fan, MU Jinlei |
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(College of Naval Architecture and Ocean Engineering, Naval University of Engineering, Wuhan 430033, China)
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| Abstract: |
| A new model, a model of random non probabilistic reliability, to evaluate the structure reliability was established based on the theory of random probability and interval non-probabilistic reliability for the randomness of material properties and loads of vessels in-service, and for region character of hull resistance testing result under the inspection of corrosion damage. Furthermore, the method to calculate the reliability index of the new model was investigated in the view of random variables and interval variables mutual transformation. Based on this new model, the reliability of vessel hull structure yield strength was analyzed. The result shows that the model can well reflect the objective uncertainty of structure variables as well as abate the conservatism of evaluation results, and has a strong applicability in reliability evaluation of ships in-service which contain the random variables and the interval variables simultaneously. |
| Keywords: random non-probabilistic warships in-service hull structure yielding strength reliability analysis |
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