Entropy propagation analysis in stochastic structural dynamics: application to a beam with uncertain cross sectional area

Abstract : This paper investigates the impact of different probabilistic models of uncertain parameters on the response of a dynamical structure. The probabilistic models of the uncertain parameters are constructed using the Maximum Entropy principle, where different information is considered, such as bounds, mean value, etc. Nested probabilistic models are constructed with increasing information; as the information given increases, the level of entropy of the input model decreases. The response of the linear dynamical model is given in the frequency domain, and the propagation of the input uncertainty throughout the computational model is analyzed in terms of Shannon's entropy. Low and high frequencies are analyzed because uncertainties propagate differently depending on the frequency band. A beam discretized by means of the finite element method with random cross sectional area (random field) is the application analyzed.
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Submitted on : Thursday, September 18, 2014 - 10:49:38 AM
Last modification on : Wednesday, September 4, 2019 - 1:52:13 PM
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Anas Batou, T. G. Ritto, Rubens Sampaio. Entropy propagation analysis in stochastic structural dynamics: application to a beam with uncertain cross sectional area. Computational Mechanics, Springer Verlag, 2014, 54 (3), pp.591-601. ⟨hal-01065492⟩

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