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Comparison of adaptive structural damage identification techniques in nonlinear hysteretic vibration isolation systems |
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| Authors: | Tengfei Mu Li Zhou Jann N Yang |
| Institution: | 1. State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China 3. State Key Laboratory of Mechanics and Control of Mechanical Structures, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, 29 Yudao Street, Nanjing, 210016, China 2. Department of Civil and Environmental Engineering, University of California, Irvine, CA, 92697, USA |
| Abstract: | Early structural damage identification to obtain an accurate condition assessment can assist in the reprioritization of structural retrofitting schedules in order to guarantee structural safety. Nowadays, seismic isolation technology has been applied in a wide variety of infrastructure, such as buildings, bridges, etc., and the health conditions of these nonlinear hysteretic vibration isolation systems have received considerable attention. To effectively detect structural damage in vibration isolation systems based on vibration data, three time-domain analysis techniques, referred to as the adaptive extended Kalman filter (AEKF), adaptive sequential nonlinear least-square estimation (ASNLSE) and adaptive quadratic sum-squares error (AQSSE), have been investigated. In this research, these analysis techniques are compared in terms of accuracy, convergence and efficiency, for structural damage detection using experimental data obtained through a series of laboratory tests based on a base-isolated structural model subjected to El Centro and Kobe earthquake excitations. The capability of the AEKF, ASNLSE and AQSSE approaches in tracking structural damage is demonstrated and compared. |
| Keywords: | structural health monitoring parameter identification damage tracking nonlinear hysteretic system experimental verification |
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