TWO-STAGE BAYESIAN STRUCTURAL HEALTH MONITORING APPROACH FOR PHASE II ASCE BENCHMARK STUDIES

摘要

This paper uses a two-step probabilistic structural healthrnmonitoring approach to analyze Damage Patterns 1–3 of thernfully-braced case in the Phase II benchmark studyrnsponsored by the IASC-ASCE Task Group on StructuralrnHealth Monitoring. These cases involve damage detectionrnand assessment of the test structure using simulatedrnambient vibration data generated from the benchmark modelrnwhich has randomly chosen structural parameter values.rnThe two-step approach involves modal identification followedrnby damage assessment using the pre- and post-damagernmodal parameters based on a Bayesian updatingrnmethodology. An Expectation-Maximization algorithm isrnproposed to find the most probable values of the structuralrnparameters. The results of analysis show that thernprobabilistic approach is able to successfully detect andrnassess most damage locations for the full-sensor and thernpartial-sensor cases.