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Titel:

Bayesian parameter updating in linear structural dynamics with frequency transformed data using rational surrogate models

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Schneider, F.; Papaioannou, I.; Straub, D.; Winter, C.; Müller, G.
Abstract:
The identification of parameters of structural models through measurements of the system’s response is of interest in many contexts. In Bayesian system identification the underlying inverse problem is formulated in a probabilistic setting, and Bayes’ rule is applied to update a prior conjecture on the parameters. We apply the Bayesian framework to identify the parameters of structural systems using dynamic measurement data. The likelihood function is formulated in terms of the misfit of the freq...     »
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Zeitschriftentitel:
Mechanical Systems and Signal Processing
Jahr:
2022
Band / Volume:
166
Jahr / Monat:
2022-03
Monat:
Mar
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1016/j.ymssp.2021.108407
Verlag / Institution:
Elsevier
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