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Title:

Sparse Bayesian rational approximation for uncertainty quantification of structural dynamic models

Document type:
Konferenzbeitrag
Author(s):
Schneider, F.; Papaioannou, I.; Straub, D.; Müller, G.
Pages contribution:
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...     »
Book / Congress title:
International Conference on Uncertainty in Structural Dynamics 2022
Year:
2022
Month:
Sep
Print-ISBN:
9789082893151
 BibTeX