A space-probabilistic separation approach for Structure Static reliability analysis

L. Ncib, A. Manai, H. Hassis
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引用次数: 1

Abstract

Abstract:In mechanics, as in many scientific domains, information and data can be:deterministic (certainty known or with error safety coefficient),probabilistic (random with known probability distribution),possibilistic (random known with an uncertainty factor on the reliability of the information. Parameters change in a known range, but the probability is unidentified).The probabilistic mechanical approaches aim to give an estimation of the solution when the information on the parameters of analyzed problem is uncertain.For some mechanical problems with probabilistic parameters, a constraint to be satisfied is added. In engineering design, the reliability analysis is an example of such constraint.In this paper, and for static probabilistic-reliability analysis, an approach reducing the size of numerical computing is proposed. It will be validated on static discrete and continuous systems having probabilistic parameters.
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结构静力可靠度分析的空间-概率分离方法
摘要:在力学中,与许多科学领域一样,信息和数据可以是:确定性(确定性已知或带有误差安全系数)、概率(随机带有已知的概率分布)、可能性(随机带有对信息可靠性的不确定性因素)。参数在已知范围内变化,但概率未知)。概率力学方法的目的是在被分析问题的参数信息不确定的情况下给出解的估计。对于一些具有概率参数的力学问题,增加了需要满足的约束。在工程设计中,可靠性分析就是这种约束的一个例子。本文针对静态概率可靠性分析,提出了一种减小数值计算量的方法。它将在具有概率参数的静态离散和连续系统上进行验证。
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