Forward and inverse structural uncertainty propagations under stochastic variables with arbitrary probability distributions

In this study, a general frame of the forward and inverse structural uncertainty propagations (UPs) based on the dimension reduction (DR) method and the derivative lambda probability density function (λ-PDF) is proposed to handle arbitrary probability distribution. For the forward UP, a DR method is...

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Veröffentlicht in:	Computer methods in applied mechanics and engineering 2018-12, Vol.342, p.287-320
Hauptverfasser:	Liu, Jie, Meng, Xianghua, Xu, Can, Zhang, Dequan, Jiang, Chao
Format:	Artikel
Sprache:	eng
Schlagworte:	Arbitrary probability distribution Derivative [formula omitted]-PDF Dimension reduction method Direct reduction Fitting region Gaussian distribution Inverse problem Inverse problems Kurtosis Mathematical analysis Probability density functions Probability distribution Probability theory Propagation Statistical analysis Stochastic models Uncertainty Uncertainty propagation Variables
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