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摘要
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Frequent earthquakes in Taiwan highlight the urgent need for reliable post-earthquake damage assessment. Advances in lightweight sensors, fast data collection, and wireless transmission make structural health monitoring (SHM) an effective tool for building safety. This study develops an SHM platform for a multipurpose public housing building, integrating seismic sensing, system identification, and building information modelling (BIM). A frequency-domain recursive hybrid genetic algorithm was applied to identify structural parameters for damage diagnosis. Seismic records were analyzed to capture time-varying dynamics, generate diagnostic reports, and compare results from different events. On the other hand, a rapid screening method using interstory drift angles provided preliminary assessments and supported warning signals. The platform includes three modules: (1) BIM visualization of structure and sensor data, (2) real-time monitoring with quick damage screening, and (3) automated reporting with stiffness-based indicators for repair or retrofit decisions. The framework shows the potential of combining SHM and BIM to strengthen seismic resilience and the life-cycle management of buildings. |
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