STRUCTURAL DAMAGE IDENTIFICATION USING A GLOBAL OPTIMIZATION TECHNIQUE
This paper presents vibration-based structural damage detection, localization and severity estimation using an adaptive simulated annealing (ASA) global optimization technique. First, a damage-sensitive response parameter that has a strong physical relationship with structural properties is implemented for detection and localization of structural damage using a non model-based damage identification approach. Secondly, an ASA optimization algorithm is employed to estimate structural damage severity via minimization of a cost function expressed in terms of the scalar distance between the damage-sensitive response parameter determined from a potentially damaged structure and that computed from a finite element model of the undamaged structure. The significance of this study is that the method can be used for damage detection, localization and estimation of damage severity in two stages and can be applied to input-output as well as output-only damage identification problems. Finally, the proposed technique is demonstrated on simulated data obtained from a simply supported reinforced concrete beam and experimental modal data from the 1- 40 Bridge.
Wirtu L. Bayissa Nicholas Haritos
Civil Engineering, The University of Melbourne, Victoria 3010, Australia Civil Engineering, The University of Melbourne, Australia
国际会议
长沙
英文
530-536
2007-11-19（万方平台首次上网日期，不代表论文的发表时间）