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Structural Health Monitoring: Real-Time Data Analysis and Damage Detection
Abstract Several new tools and techniques on Structural Health Monitoring (SHM) have recently been developed and implemented on various structures, which includes real-time vibration data analysis, damage detection, and warnings for occupants. Running time windows are used to define the statistical characteristics of the changes in structural properties and their correlation with the factors that might cause such changes. Inter-story drifts are commonly used to detect and locate damage on buildings. The classical method to calculate inter-story drifts involves double integration and subtraction of acceleration data, both of which are very sensitive to noise in the records. Therefore, it is extremely difficult to get accurate values of inter-story drifts in real-time SHM systems. It is shown that the fairly accurate drift values can be obtained at non-instrumented stories assuming that the mode shapes of a building can be approximated as a linear combination of the mode shapes of a shear- and bending beam. A new technique based on the interferometric imaging and Transfer Matrix formulation enables the analytical models of multi-story buildings to be uniquely identified and calibrated for each story in real-time using their vibration records. It has been shown that the top-to-bottom spectral ratio of the records at a particular story is dependent only on the properties of that story and the stories above but not the stories below. Both numerical examples and earthquake data from the Factor building at UCLA campus in California are used to validate these tools and methodologies.
Structural Health Monitoring: Real-Time Data Analysis and Damage Detection
Abstract Several new tools and techniques on Structural Health Monitoring (SHM) have recently been developed and implemented on various structures, which includes real-time vibration data analysis, damage detection, and warnings for occupants. Running time windows are used to define the statistical characteristics of the changes in structural properties and their correlation with the factors that might cause such changes. Inter-story drifts are commonly used to detect and locate damage on buildings. The classical method to calculate inter-story drifts involves double integration and subtraction of acceleration data, both of which are very sensitive to noise in the records. Therefore, it is extremely difficult to get accurate values of inter-story drifts in real-time SHM systems. It is shown that the fairly accurate drift values can be obtained at non-instrumented stories assuming that the mode shapes of a building can be approximated as a linear combination of the mode shapes of a shear- and bending beam. A new technique based on the interferometric imaging and Transfer Matrix formulation enables the analytical models of multi-story buildings to be uniquely identified and calibrated for each story in real-time using their vibration records. It has been shown that the top-to-bottom spectral ratio of the records at a particular story is dependent only on the properties of that story and the stories above but not the stories below. Both numerical examples and earthquake data from the Factor building at UCLA campus in California are used to validate these tools and methodologies.
Structural Health Monitoring: Real-Time Data Analysis and Damage Detection
Kaya, Yavuz (author) / Safak, Erdal (author)
2019-01-01
27 pages
Article/Chapter (Book)
Electronic Resource
English
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