Nonlinear Regression Based Health Monitoring of Hysteretic Structures under Seismic Excitation (2015)
Type of ContentJournal Article
PublisherUniversity of Canterbury. Mechanical Engineering
This paper presents a health monitoring method using measured hysteretic responses. Acceleration and infrequently measured displacement are integrated using a multirate Kalman filtering method to generate restoring force-displacement hysteresis loops. A linear/nonlinear regression analysis based two-step method is proposed to identify nonlinear system parameters. First, hysteresis loops are divided into loading/unloading half cycles. Multiple linear regression analysis is applied to separate linear and nonlinear half cycles. Preyielding stiffness and viscous damping coefficient are obtained in this step and used as known parameters in the second step. Then, nonlinear regression analysis is applied to identified nonlinear half cycles to yield nonlinear system parameters and two damage indicators: cumulative plastic deformation and residual deformation. These values are closely related to structural status and repair costs. The feasibility of the method is demonstrated using a simulated shear-type structure with different levels of added measurement noise and a suite of ground motions. The results show that the proposed SHM method effectively and accurately identifies physical system parameters with up to 10% RMS added noise. The resulting damage indicators can robustly and clearly indicate structural condition over different earthquake events
CitationXu, C., Chase, J.G., Rodgers, G.W. (2015) Nonlinear Regression Based Health Monitoring of Hysteretic Structures under Seismic Excitation. Shock and Vibration, 2015, pp. 193136, 12pp.
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Keywordsstructural health monitoring; nonlinear regression; hysteresis loops; damage identification; system identification
ANZSRC Fields of Research40 - Engineering::4005 - Civil engineering::400506 - Earthquake engineering
40 - Engineering::4005 - Civil engineering::400510 - Structural engineering
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Zhou C; Chase, Geoff; Rodgers GW; Xu C; Tomlinson H (TECHNO-PRESS, 2015)Copyright © 2015 Techno-Press, Ltd. This research investigates the structural health monitoring of nonlinear structures after a major seismic event. It considers the identification of flag-shaped or pinched hysteresis ...
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