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Experimental Validation of a Nonlinear Model Calibration Method Based on Multiharmonic Frequency Responses
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering. (Strukturdynamik)
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering. (Strukturdynamik)ORCID iD: 0000-0002-4404-5708
Chalmers University of Technology. (Strukturdynamik)
2017 (English)In: Journal of Computational and Nonlinear Dynamics, ISSN 1555-1415, E-ISSN 1555-1423, Vol. 12, no 4, 041014Article in journal (Refereed) Published
Abstract [en]

Correlation and calibration using test data are natural ingredients in the process of validating computational models. Model calibration for the important subclass of nonlinear systems which consists of structures dominated by linear behavior with the presence of local nonlinear effects is studied in this work. The experimental validation of a nonlinear model calibration method is conducted using a replica of the École Centrale de Lyon (ECL) nonlinear benchmark test setup. The calibration method is based on the selection of uncertain model parameters and the data that form the calibration metric together with an efficient optimization routine. The parameterization is chosen so that the expected covariances of the parameter estimates are made small. To obtain informative data, the excitation force is designed to be multisinusoidal and the resulting steady-state multiharmonic frequency response data are measured. To shorten the optimization time, plausible starting seed candidates are selected using the Latin hypercube sampling method. The candidate parameter set giving the smallest deviation to the test data is used as a starting point for an iterative search for a calibration solution. The model calibration is conducted by minimizing the deviations between the measured steady-state multiharmonic frequency response data and the analytical counterparts that are calculated using the multiharmonic balance method. The resulting calibrated model's output corresponds well with the measured responses.

Place, publisher, year, edition, pages
ASME Press, 2017. Vol. 12, no 4, 041014
Keyword [en]
nonlinear model calibration, multiharmonic frequency response, identifiability analysis, Fisher information matrix
National Category
Applied Mechanics
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-60552DOI: 10.1115/1.4035670ISI: 000401803900015OAI: oai:DiVA.org:lnu-60552DiVA: diva2:1072200
Funder
VINNOVA, NFFP5
Available from: 2017-02-07 Created: 2017-02-07 Last updated: 2017-07-19Bibliographically approved

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Chen, YoushengLinderholt, Andreas

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