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Titel:

Sparse Bayesian rational approximation for uncertainty quantification of structural dynamic models

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Schneider, F.; Papaioannou, I.; Straub, D.; Müller, G.
Seitenangaben Beitrag:
4943-4957
Abstract:
Surrogate models enable efficient propagation of uncertainties in computationally demanding models of physical systems. We employ surrogate models that draw upon polynomial bases to model the stochastic response of structural dynamics systems. In linear structural dynamics, the system response can be described by the frequency response function. Recently, the authors proposed a rational approximation that expresses the system frequency response in terms of random input parameters as a rational...     »
Kongress- / Buchtitel:
International Conference on Uncertainty in Structural Dynamics 2022
Jahr:
2022
Monat:
Sep
Print-ISBN:
9789082893151
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