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Bayesian Uncertainty Quantification in the Development of a New Vibration Absorber Technology

Brötz, N. and Pelz, P. F. Mao, Zhu (ed.) (2020):
Bayesian Uncertainty Quantification in the Development of a New Vibration Absorber Technology.
In: Conference Proceedings of the Society for Experimental Mechanics Series, In: Model Validation and Uncertainty Quantification ; Vol. 3, pp. 19-26,
Cham, Springer International Publishing, 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Houston, 10-13 February, 2020, ISBN 978-3-030-47638-0,
DOI: 10.1007/978-3-030-47638-0_2,
[Conference or Workshop Item]

Abstract

The engineer starts with paper and pencil. From the basic idea to the axiomatic model, this is all he or she needs. If the axiomatic model does not reproduce the results of the experiment due to too many simplifications, the axiomatic model shall be extended. The aim is to guarantee the desired functionality at an early design stage and thus ensure a safe design. Mathematical models of a new vibration absorber technology of different complexity are utilized in order to predict its dynamic response under different operation conditions. Such a prediction of the dynamic response is subject to model uncertainty.

Item Type: Conference or Workshop Item
Erschienen: 2020
Editors: Mao, Zhu
Creators: Brötz, N. and Pelz, P. F.
Title: Bayesian Uncertainty Quantification in the Development of a New Vibration Absorber Technology
Language: English
Abstract:

The engineer starts with paper and pencil. From the basic idea to the axiomatic model, this is all he or she needs. If the axiomatic model does not reproduce the results of the experiment due to too many simplifications, the axiomatic model shall be extended. The aim is to guarantee the desired functionality at an early design stage and thus ensure a safe design. Mathematical models of a new vibration absorber technology of different complexity are utilized in order to predict its dynamic response under different operation conditions. Such a prediction of the dynamic response is subject to model uncertainty.

Title of Book: Model Validation and Uncertainty Quantification ; Vol. 3
Series Name: Conference Proceedings of the Society for Experimental Mechanics Series
Place of Publication: Cham
Publisher: Springer International Publishing
ISBN: 978-3-030-47638-0
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute for Fluid Systems (FST)
16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) > Designing with Fluids
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 805: Control of Uncertainty in Load-Carrying Structures in Mechanical Engineering
Event Title: 38th IMAC, A Conference and Exposition on Structural Dynamics 2020
Event Location: Houston
Event Dates: 10-13 February, 2020
Date Deposited: 08 Jan 2021 08:03
DOI: 10.1007/978-3-030-47638-0_2
Official URL: https://link.springer.com/chapter/10.1007%2F978-3-030-47638-...
Alternative keywords:
Alternative keywordsLanguage
Bayesian interval hypothesis, Model validation, UncertaintyEnglish
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