Generalized Response Surface Model Updating Using Time Domain Data
This article has been corrected.
VIEW CORRECTIONPublication: Journal of Structural Engineering
Volume 140, Issue 8
Abstract
In finite-element (FE) model updating using response surface (RS) models as surrogate, the procedure of finding an appropriate design to build the RS models requires a number of trial-and-error approaches with different designs and subset models. To address this issue, a procedure is proposed in this paper to design and fit proper RS models in FE model updating problems. Also, formulation of the problem in an iterative format in time domain is proposed to extract more information from measured signals and compensate for the error present in the regressed models. This procedure is applicable to both linear and nonlinear models under static or dynamic analysis. The proposed methodology is applied to a numerical case study of a steel frame with global nonlinearity. Appropriate design and model order are successfully established and optimization in time performs well in all the simulated scenarios. Finally, the performance of this method in presence of measurement noise is compared with a method based on sensitivity analysis in terms of required time and accuracy.
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Acknowledgments
Research funding is partially provided by the National Science Foundation under Grant No. CMMI-0926898 by the Sensors and Sensing Systems program and by a grant from the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA). Their financial support is gratefully appreciated.
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Published In
Journal of Structural Engineering
Volume 140 • Issue 8 • August 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Sep 18, 2012
Accepted: Jul 16, 2013
Published online: Jul 18, 2013
Discussion open until: Jun 6, 2014
Published in print: Aug 1, 2014
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