Presentation + Paper
21 May 2020 Structural damage identification using multi-objective optimization based inverse analysis
Yang Zhang, J. Tang
Author Affiliations +
Abstract
In this research, we report a new fault identification algorithm utilizing multi-objective optimization. Fault identification problem is commonly under-determined, as measurement information may not be sufficient to facilitate a direct inversion. We formulate an optimization problem, aiming at minimizing the discrepancy between model prediction and measurement. This yields multiple possible fault scenarios, which lays down foundation for further inspection.
Conference Presentation
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Yang Zhang and J. Tang "Structural damage identification using multi-objective optimization based inverse analysis", Proc. SPIE 11380, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIV, 113800D (21 May 2020); https://doi.org/10.1117/12.2558982
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KEYWORDS
Optimization (mathematics)

Transducers

Algorithm development

Finite element methods

Structural health monitoring

Detection and tracking algorithms

Analytical research

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