Structural damage identification using multi-objective optimization based inverse analysis
Published: 2020
Publication Name: Structural damage identification using multi-objective optimization based inverse analysis
Publication URL: https://doi.org/10.1117/12.2558982
Abstract:
TIDC Projects 1.06 & 1.16
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.
