Improved Damage Localization and Quantification Using Subset Selection
Publication: Journal of Engineering Mechanics
Volume 135, Issue 6
Abstract
Because a structure’s modal parameters (natural frequencies and mode shapes) are affected by structural damage, finite- element model updating techniques are often applied to locate and quantify structural damage. However, the dynamic behavior of a structure can only be observed in a narrow knowledge space, which usually causes nonuniqueness and ill-posedness in the damage detection problem formulation. Thus, advanced optimization techniques are a necessary tool for solving such a complex inverse problem. Furthermore, a preselection process of the most significant damage parameters is helpful to improve the efficiency of the damage detection procedure. A new approach, which combines a parameter subset selection process with the application of damage functions is proposed herein to accomplish this task. Starting with a simple 1D beam, this paper first demonstrates several essential concepts related to the proposed model updating approach. A more advanced example considering a 2D model is then considered. To determine the capabilities of this approach for more complex structures, a trust region-based optimization method is adopted to solve the corresponding nonlinear minimization problem. The objective is to provide an improved robust solution to this challenging problem.
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Acknowledgments
The writers are grateful to the National Science Foundation for financing this research work through Grant Nos NSF0625640 and NSF0245402.
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© 2009 ASCE.
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Received: Feb 8, 2008
Accepted: Oct 16, 2008
Published online: Mar 3, 2009
Published in print: Jun 2009
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