Method for Monitoring Damage of Structure with Unscented Kalman Filter based on Surrogate-Based Optimization

摘要

The present invention builds a structural analysis model for a target structure, derives the history of changes in the elastic modulus or damping coefficient that reflects the structural performance of the target structure directly from the built structural analysis model, and determines the damage to the structure based on this However, global optimization is performed on the optimal value for each covariance of the system artificial error and measurement artificial error that minimizes the theoretical residual that is inevitably included when calculating by applying the distributed point Kalman filter, not the conventional general distributed point Kalman filter. In a method and monitoring device for damage to a structure using a global optimization-based distributed point Kalman filter that can determine whether a structure is damaged with high reliability and accuracy by performing calculations using the optimal value derived in this way. it's about