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吕震宙, 岳珠峰. 模糊随机可靠性分析的统一模型[J]. 力学学报, 2004, 36(5): 533-539. DOI: 10.6052/0459-1879-2004-5-2004-012
引用本文: 吕震宙, 岳珠峰. 模糊随机可靠性分析的统一模型[J]. 力学学报, 2004, 36(5): 533-539. DOI: 10.6052/0459-1879-2004-5-2004-012
Unified reliability model for fuzziness and randomness of the basic variables and state variables in structure[J]. Chinese Journal of Theoretical and Applied Mechanics, 2004, 36(5): 533-539. DOI: 10.6052/0459-1879-2004-5-2004-012
Citation: Unified reliability model for fuzziness and randomness of the basic variables and state variables in structure[J]. Chinese Journal of Theoretical and Applied Mechanics, 2004, 36(5): 533-539. DOI: 10.6052/0459-1879-2004-5-2004-012

模糊随机可靠性分析的统一模型

Unified reliability model for fuzziness and randomness of the basic variables and state variables in structure

  • 摘要: 针对基本变量和状态变量的不确定性可能既有随机性又有模糊性的情况,通过引入规一化因子和模糊变量隶属函数的等效概率密度函数转换,建立了同时考虑随机和模糊两种不确定性因素的统一可靠性模型. 由于该模型将模糊变量等价转换成了随机变量,并且这种等价变换没有改变模糊变量的可能性分布,因而随机可靠性模型的所有方法均可用于统一模型,并且其可靠度和失效概率的计算将是准确的. 所提模型不仅适用于只有应力和强度两个基本变量的情况,而且也适用于多个变量的情况. 用算例对所提模型与前人的采用截集并在截集中引入人为分布的模型进行了对比,结果表明该方法更适于工程应用.

     

    Abstract: Based on the randomness and fuzziness of the basicvariables and state variables, a unified reliability model is presented forthe fuzzy random structure. In the unified reliability model, a factor isintroduced to formulate the safe measure for the fuzzy random structure asthe same one for the random structure. After the membership function of thefuzzy variable is replaced by the equivalent probability density functionfrom the mathematical transition in the unified reliability model, theconventional reliability methods for random structure can be extended forthe fuzzy random structure directly. Due to the unchangeable possibilitydistribution of the fuzzy variable in the equivalent mathematic transition,the failure probability can be calculated precisely for the fuzzy randomstructure. And the unified reliability model for random fuzzy structure canbe extended to the structure with multiple variables from strength-stresstwo variables. Comparison in the illustrations shows that the presentedmethod is more suitable for engineering application than the existed methodsin the references.

     

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