Comparison of various structural damage tracking techniques based on experimental data

Hongwei Huang; Jann N. Yang; Li Zhou

doi:10.1117/12.774621

8 April 2008 Comparison of various structural damage tracking techniques based on experimental data

Hongwei Huang, Jann N. Yang, Li Zhou

Proceedings Volume 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008; 693225 (2008) https://doi.org/10.1117/12.774621
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2008, San Diego, California, United States

Abstract

Damage identification of structures is an important task of a health monitoring system. The ability to detect damages on-line or almost on-line will ensure the reliability and safety of structures. Analysis methodologies for structural damage identification based on measured vibration data have received considerable attention, including the least-square estimation (LSE), extended Kalman filter (EKF), etc. Recently, new analysis methods, referred to as the sequential non-linear least-square estimation (SNLSE) and quadratic sum-squares error (QSSE), have been proposed for the damage tracking of structures. In this paper, these newly proposed analysis methods will be compared with the LSE and EKF approaches, in terms of accuracy, convergence and efficiency, for damage identification of structures based on experimental data. A series of experimental tests using a small-scale 3-story building model have been conducted. In these experimental tests, white noise excitations were applied to the model, and different damage scenarios were simulated and tested. Here, the capability of the adaptive LSE, EKF, SNLSE and QSSE approaches in tracking the structural damage are demonstrated using experimental data. The tracking results for the stiffness of all stories, based on each approach, are compared with the stiffness predicted by the finite-element method. The advantages and drawbacks for each damage tracking approach will be evaluated in terms of the accuracy, efficiency and practicality.

Citation Download Citation

Hongwei Huang, Jann N. Yang, and Li Zhou "Comparison of various structural damage tracking techniques based on experimental data", Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 693225 (8 April 2008); https://doi.org/10.1117/12.774621

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