Paper
11 April 2006 Damage detection in nonlinear systems using multiple system augmentations and matrix updating
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Abstract
Recently, a damage detection method for nonlinear systems using model updating has been developed by the authors. The method uses an augmented linear model of the system, which is determined from the functional form of the nonlinearities and a nonlinear discrete model of the system. The modal properties of the augmented system after the onset of damage are extracted from the system using a modal analysis technique that uses known but not prescribed forcing. Minimum Rank Perturbation Theory was generalized so that damage location and extent could be determined using the augmented modal properties. The method was demonstrated previously for cubic springs and Coulomb friction nonlinearities. In this work, the methodology is extended to handle large systems where only the first few of the augmented eigenvectors are known. The methodology capitalizes on the ability to create multiple augmentations for a single nonlinear system. Cubic spring nonlinearities are explored within a nonlinear 3-bay truss structure for various damage scenarios simulated numerically.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kiran D'Souza and Bogdan I. Epureanu "Damage detection in nonlinear systems using multiple system augmentations and matrix updating", Proc. SPIE 6174, Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 61742Y (11 April 2006); https://doi.org/10.1117/12.658085
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Cited by 2 scholarly publications.
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KEYWORDS
Complex systems

Damage detection

Systems modeling

Matrices

Modal analysis

Artificial intelligence

System identification

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