Substructure model updating through iterative minimization of modal dynamic residual

Dapeng Zhu; Xinjun Dong; Yang Wang

doi:10.1117/12.2045118

10 April 2014 Substructure model updating through iterative minimization of modal dynamic residual

Dapeng Zhu, Xinjun Dong, Yang Wang

Proceedings Volume 9063, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2014; 90631V (2014) https://doi.org/10.1117/12.2045118
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2014, San Diego, California, United States

Abstract

This research studies a substructure model updating approach. Requiring modal testing data from only part of a large structure (i.e. a substructure), finite element model parameters for the substructure can be updated. Prior to updating, Craig-Bampton transform is adopted to condense the entire structural model into the substructure (currently being instrumented and to be updated) and the residual structure. Finite element model of the substructure remains at high resolution, while dynamic behavior of the residual structure is approximated using only a limited number of dominant mode shapes. To update the condensed structural model, physical parameters in the substructure and modal parameters of the residual structure are chosen as optimization variables; minimization of the modal dynamic residual is chosen as the optimization objective. An iterative linearization procedure is adopted for efficiently solving the optimization problem. The proposed substructure model updating approach is validated through numerical simulation with two plane structures

Citation Download Citation

Dapeng Zhu, Xinjun Dong, and Yang Wang "Substructure model updating through iterative minimization of modal dynamic residual", Proc. SPIE 9063, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2014, 90631V (10 April 2014); https://doi.org/10.1117/12.2045118

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