This project proposes to develop, validate, and verify novel methodologies for structural health monitoring (SHM) and damage identification (DID) methodologies for civil structures subjected to earthquake loads.The methodologies link high-fidelity mechanics-based nonlinear finite element (FE) models and Bayesian inference methods. This SHM approach is intended to provide a rapid assessment of the potential damage in the structure. Information about presence, location, type, and extent of damage will be obtained from the updated nonlinear mechanics-based FE model of the monitored structure and therefore the approach will provide a powerful tool for decision-making related to maintenance and inspections, disaster management, risk mitigation, public safety, and post-disaster rehabilitation and recovery.
|Effective start/end date||1/11/16 → 31/10/19|
- Comisión Nacional de Investigación Científica y Tecnológica: CLP87,000,000.00
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