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**Harvard**

Chen, Y., Linderholt, A. och Abrahamsson, T. (2017) *Experimental validation of a nonlinear model calibration method based on multiharmonic frequency responses*.

** BibTeX **

@article{

Chen2017,

author={Chen, Yousheng and Linderholt, Andreas and Abrahamsson, Thomas},

title={Experimental validation of a nonlinear model calibration method based on multiharmonic frequency responses},

journal={Journal of Computational and Nonlinear Dynamics},

issn={15551415},

volume={12},

issue={4},

pages={Article number 410141},

abstract={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 Ecole 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. Copyright © 2017 by ASME.},

year={2017},

keywords={Fisher information matrix; identifiability analysis; multiharmonic frequency response; Nonlinear model calibration},

}

** RefWorks **

RT Journal Article

SR Electronic

ID 248471

A1 Chen, Yousheng

A1 Linderholt, Andreas

A1 Abrahamsson, Thomas

T1 Experimental validation of a nonlinear model calibration method based on multiharmonic frequency responses

YR 2017

JF Journal of Computational and Nonlinear Dynamics

SN 15551415

VO 12

IS 4

AB 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 Ecole 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. Copyright © 2017 by ASME.

LA eng

DO 10.1115/1.4035670

LK http://dx.doi.org/10.1115/1.4035670

OL 30