Development of structural health assessment system for steel and reinforced concrete structures using acceleration data

Yu Suzuki; Akira Mita

doi:10.1117/12.2044987

8 March 2014 Development of structural health assessment system for steel and reinforced concrete structures using acceleration data

Yu Suzuki, Akira Mita

Author Affiliations +

Proceedings Volume 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014; 90613F (2014) https://doi.org/10.1117/12.2044987
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2014, San Diego, California, United States

Abstract

Because of the repeated earthquake and the problem such as the aging of buildings, a number of studies of Structural Health Monitoring (SHM) is have been done. Now, the writer is developing structural health assessment system for steel and reinforced concrete structures aiming for completion in 2014. In this system, following three programs for automatically estimating the physical quantity that is important for assessing the integrity of the structure are planned. First program is what automatically estimate the modal parameters (natural frequency and damping ratio) of the structure by the time history by using the subspace method. Second program is what automatically estimate the inter-layer parameters (stiffness and damping coefficient) by the time history by using the adaptive Kalman filter. Third program is what automatically estimate the story drift angle by time history by using the adaptive Kalman filter. The proposed method is expected to be estimated in consideration of the higher order modes than the conventional method by reverse modal analysis.

Citation Download Citation

Yu Suzuki and Akira Mita "Development of structural health assessment system for steel and reinforced concrete structures using acceleration data", Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 90613F (8 March 2014); https://doi.org/10.1117/12.2044987

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