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Reliability based optimisation of engineering structures under imprecise information

机译:不精确信息下基于可靠性的工程结构优化

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In many engineering applications, probability theory has been employed in a multidisciplinary design optimisation procedure to address uncertainty in a structural system. However, in a general situation where some uncertain variables are not random or where complete information about their randomness is unavailable, probability theory may be inappropriate to describe the propagation of uncertainty. In this work, the Dempster-Shafer (DS) theory, also called the evidence theory, is proposed to handle this general situation as an alternative to the classical probability theory for the mathematical representation of uncertainty. Evidence theory allows us to express partial beliefs when it is impossible or impractical to assess the complete probability distribution confidently. DS theory is applied to a reliability-based optimisation problem in a general situation with imprecise information for an aircraft wing preliminary design example.
机译:在许多工程应用中,概率论已用于多学科设计优化程序中,以解决结构系统中的不确定性。但是,在某些不确定变量不是随机变量或无法获得有关其随机性的完整信息的一般情况下,概率论可能不适用于描述不确定性的传播。在这项工作中,提出了Dempster-Shafer(DS)理论(也称为证据理论)来处理这种一般情况,作为对不确定性进行数学表示的经典概率论的替代方法。证据理论允许我们在不可能或不切实际地评估整个概率分布时表达部分信念。对于飞机机翼初步设计示例,在不精确信息的一般情况下,DS理论被应用于基于可靠性的优化问题。

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