基于模型参考自适应算法的非线性结构损伤识别

许多工程结构在遭受飓风、地震之类的动荷载时,存在迟滞非线性现象,因此,对其结构参数进行实时辨识显得尤为必要.针对迟滞非线性结构的力学性质,采用一种基于模型参考自适应算法的参数辨识方法.该方法能够追踪时变的参数,检测损伤,包括损伤的大小和位置,以及损伤发生的时刻.数值仿真的结果表明,该方法对参数变化具有敏感性,非线性结构的仿真结果证实了该方法能够有效检测结构的损伤.

Non-linear structural identification using a recursive model reference adaptive algorithm

System identification and damage detection have received considerable attention recently because of their importance in structural health monitoring.Many civil engineering structures exhibit hysteretic behaviors when subject to severe dynamic loads,such as strong earthquakes.Adaptive estimation methods are needed for on-line identification of non-linear hysteretic structural systems under dynamic excitations.Recently,techniques for parametric estimation and damage evaluation have been proposed in the literatures;however,the on-line identification of non-linear structures is still a challenge.In this paper,we present a parametric identification method for non-linear hysteretic systems based on recursive model reference(RMR) adaptive algorithm.The method presented has the capability of tracking the time-varying parameters and detecting the damages,including the damage location and severity.Numerical simulations show that the method presented is sensitive to the parametric variations.Simulation results for non-linear hysteretic structures demonstrate that the technique presented is effective in detecting the structural damage.