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A unified model approach for probability response analysis of structure-acoustic system with random and epistemic uncertainties

机译:具有随机和认知不确定性的结构-声学系统的概率响应分析的统一模型方法

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The uncertainties of structure-acoustic system can be generally characterized as the random uncertainty and the epistemic uncertainty. Traditional methods for response analysis of structure-acoustic system with hybrid random and epistemic uncertainties are developed by integrating different mathematical theories, such as the probability theory and the interval analysis. In this paper, theEvidence-Theory-based Unified Uncertain Model(ETUUM) is introduced to deal with hybrid random and epistemic uncertain structure-acoustic problem. In ETUUM, both epistemic and random uncertainties are modeled by using evidence theory. For uncertainty quantification of ETUUM of structure-acoustic system with hybrid random and epistemic uncertainties, a new hybrid uncertainty analysis method named as theEvidence-Theory-based Arbitrary Polynomial Chaos Method(ETAPCM) is proposed. In ETAPCM, the response of ETUUM in the range of variation of the uncertain parameter is approximated by thearbitrary Polynomial Chaos(aPC) expansion, through which the uncertainty property of the response can be efficiently obtained. As the aPC expansion can provide a free choice of the polynomial basis, the optimal polynomial basis of polynomial chaos expansion for the epistemic uncertain parameter and the random parameter with arbitrary probability distribution can be obtained by using aPC expansion. The effectiveness of the proposed methodology has been investigated by comparing it with the conventional polynomial chaos and evidence theory based hybrid uncertainty analysis method as well as the probability theory based hybrid uncertainty analysis method.
机译:结构-声学系统的不确定性通常可以描述为随机不确定性和认知不确定性。通过整合概率论和区间分析等不同的数学理论,发展了具有混合随机和认知不确定性的结构-声学系统响应分析的传统方法。本文介绍了基于证据理论的统一不确定模型(ETUUM),以解决混合随机和认知不确定结构-声学问题。在ETUUM中,使用证据理论对认知和随机不确定性进行建模。为了对具有混合随机和认知不确定性的结构声学系统的ETUUM进行不确定性量化,提出了一种新的基于不确定性的混合不确定性分析方法,即基于证据理论的任意多项式混沌方法(ETAPCM)。在ETAPCM中,不确定参数变化范围内的ETUUM响应可以通过任意多项式混沌(aPC)展开来近似,从而可以有效地获得响应的不确定性。由于aPC展开式可以自由选择多项式基础,因此通过使用aPC展开式,可以得到认知不确定参数和具有任意概率分布的随机参数的多项式混沌展开式的最优多项式基础。通过与常规多项式混沌和基于证据理论的混合不确定性分析方法以及基于概率论的混合不确定性分析方法进行比较,研究了该方法的有效性。

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