AQSSE method for damage identification of base-isolated structures
-
摘要: 提出自适应二次误差平方和(AQSSE,Adaptive Quadratic Sum-Squares Error)方法对基础隔震结构进行在线损伤识别实验研究.建立基础隔震结构实验模型,进行振动实验.实验过程中采用一套刚度元件装置在线模拟结构损伤,测量模型加速度响应和位移响应,基于测得的加速度信号和AQSSE方法在线识别基础隔震结构的参数和位移,并追踪参数的变化,从而识别结构损伤.研究结果表明:在两种典型地震波激励下,通过不同时刻的刚度突变模拟结构损伤,AQSSE方法得到的结构参数值与有限元分析结果一致,且识别得到的位移曲线与实验测量的位移曲线吻合良好,验证了AQSSE方法在基础隔震结构参数识别与损伤追踪中的有效性和准确性.
-
关键词:
- 参数识别 /
- 损伤追踪 /
- 结构健康监测 /
- 自适应二次误差平方和方法 /
- 基础隔震结构
Abstract: A new data analysis method, referred to as the adaptive quadratic sum-squares error(AQSSE) method,has been investigated for the online identification of time-varying system parameters of structures. Experimental study was conducted and presented to verify the capability of the AQSSE approach for identifying and tracking the variations of structural parameters. A base-isolated building model was tested in the laboratory. A stiffness element device was proposed to simulate the abrupt reduction of model stiffness due to damage during the tests. Both El Centro and Kobe earthquake excitations were used to drive the test model. Different damage scenarios were simulated and tested. Then the AQSSE approach was used to track the variation of the stiffness during the test based on the measured acceleration response data. The tracking results for the stiffness variations correlate well with that of the referenced values obtained by finite element method. It is concluded that the AQSSE approach is effective and accurate in tracking the variations of structural parameters leading to the detection of structural damages, including the time, location and severity of the damage. -
[1] Skinner R I,Robinson W H,McVerry G H.An introduction to seismic isolation[M].UK:John Wiley and Sons,1993 [2] Narasimhan S,Nagarajaiah S,Gavin H,et al.Smart base isolated benchmark building part I:problem definition[J].Journal of Structural Control and Health Monitoring,2006,13(2/3):573-588 [3] Yang J N,Lin S.Identification of parametric variations of structures based on least square estimation and adaptive tracking technique[J].Journal of Engineering Mechanics,2005,131(3):290-298 [4] Yang J N,Lin S,Huang H,et al.An adaptive extended Kalman filter for structural damage identification[J].Journal of Structural Control and Health Monitoring,2006,13(4):849-867 [5] Zhou L,Wu S Y,Yang J N.Experimental study of an adaptive extended Kalman filter for structural damage identification[J].Journal of Infrastructure Systems,ASCE,2008,14(1):42-51 [6] Yang J N,Huang H W,Lin S L.Sequential non-linear least-square estimation for damage identification of structures[J].International Journal of Non-Linear Mechanics,2006,41(1):124-140 [7] Yang J N,Huang H,Pan S.Adaptive quadratic sum-squares error for structural damage identification [J].Journal of Engineering Mechanics,2009,135(2):67-77 [8] Huang H,Yang J N,Zhou L.Comparison of various structural damage tracking techniques based on experimental data[J].Smart Structures and Systems,2010,9(6):1057-1078 [9] Furukawa T,Ito M,Izawa K,et al.System identification of base-isolation building using seismic response [J].Journal of Engineering Mechanics,2005,131(3):268-275 [10] Ismail M,Ikhouane F,Rodellar J.The hysteresis Bouc-Wen model:a survey[J].Archives of Computational Methods In Engineering,2009,16(2):161-188 [11] 汪新明,周丽.基于振动响应的隔震支座的非线性建模及参数估计[J].振动与冲击,2008,27(1):146-150 Wang Xinming,Zhou Li.Modeling of a rubber bearing and its parameters estmation based of its dynamic response [J].Journal of Vibration and Shock,2008,27(1):146-150(in Chinese) [12] Yin Q,Zhou L,Wang X.Parameter identification of hysteretic rubber-bearing based on sequential nonlinear least-square estimation [J].Journal of Earthquake Engineering and Engineering Vibration,2010,9(3):375-383
点击查看大图
计量
- 文章访问数: 2285
- HTML全文浏览量: 217
- PDF下载量: 389
- 被引次数: 0