Damage Detection for a Benchmark Structure using One-step and Two-step Probabilistic Approaches

Abstract

This paper uses two probabilistic structural health monitoring approaches, namely a "one-step" approach and a "two-step" approach, to analyze Cases 1-3 of the benchmark study sponsored by the IASC-ASCE Task Group on Structural Health Monitoring which is defined in Johnson et al. [1]. These cases involve damage detection and assessment in the weak direction of the test structure using a 4-DOF linear shear building model during the analysis. The one-step approach goes directly from the time-domain data before and after damage to damage identification, while the two-step approach involves modal identification followed by damage assessment using the pre- and post-damage modal parameters. Comparison between the results obtained from the two approaches is given.

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