PROGRESS OF PHASE II STUDY OF THE ASCE HEALTH MONITORING BENCHMARK DATA USING WAVELET APPROACH

Abstract eng:
This paper, as a continuation of the authors' previous work on application of the wavelet analysis for damage detection for ASCE health monitoring benchmark data, addresses feasibility of the wavelet approach for detection of local stiffness loss using the benchmark study Phase II data. The acceleration response data were generated by finite element codes provided by the ASCE Task Group on Health Monitoring for a four-story prototype building structure subjected to simulated stochastic ambient loading. Two 120-DOF reference models (braced and unbraced structure) are considered in Phase II, but only results for the braced model are presented in this paper. Damage patterns are mainly those specified in Phase II of benchmark studies. Some other damage patterns are also included for comparison. It was found that a sudden local damage which may result in small change of less than 4% in the first few natural frequencies and the time when it occurs can be detected by spikes observed in the high-resolution wavelet details. A sensitivity study of the method in respect to damage location and severity, measurement noise, and types of analyzing wavelets is discussed. The results illustrate a great promise of wavelet analysis for the structural health monitoring due to its merits of less-model dependence, sensitivity to a local damage, simplicity in algorithms and efficiency in computational efforts, and feasibility for on-line implementation.

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