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| 地震作用下结构时变物理参数识别 | |
| 引用本文： | 任宜春,易伟建,谢献忠.地震作用下结构时变物理参数识别[J].地震工程与工程振动,2007,27(4):98-102. |
| 作者姓名： | 任宜春 易伟建 谢献忠 |
| 作者单位： | 1. 长沙理工大学,桥梁与结构工程学院,湖南,长沙,410076 2. 湖南大学,土木工程学院,湖南,长沙,410082 3. 湖南科技大学,土木工程学院,湖南,湘潭,411201 |
| 基金项目： | 湖南省教育厅青年项目(05B017)，湖南省教育厅一般项目 |
| 摘 要： | 利用小波分析函数多尺度逼近方法,将剪切型结构在地震作用下时变的阻尼和刚度用尺度函数的线性组合表示,将时变参数的辨识问题转化为由已知的正交尺度函数和系统的输入输出来估计线性组合中的时不变系数问题,用最小二乘法对剪切型框架结构在地震作用下时变的刚度和阻尼进行了有效的辨识。此方法无需事先假定系统参数的时变规律,在有噪声情况下可以用Tikhonov正则化方法减小识别方程的不适定性对识别结果的影响。数值算例表明了该方法的有效性。 |
| 关 键 词： | 系统辨识 多尺度逼近 时变系统 |
| 文章编号： | 1000-1301（2007）04-0098-05 |
| 修稿时间： | 2007-01-172007-04-08 |
Identification of time-variant physical parameters of structure under earthquake loading |
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| REN Yichun,YI Weijian,XIE Xianzhong.Identification of time-variant physical parameters of structure under earthquake loading[J].Earthquake Engineering and Engineering Vibration,2007,27(4):98-102. | |
| Authors: | REN Yichun YI Weijian XIE Xianzhong |
| Institution: | 1. Institute of Bridge and Structure Engineering, Changsha Science and Technology University, Changsha 410076, China; 2. Institute of Civil Engineering, Hunan University, Changsha 410082, China; 3. Institute of Civil Engineering, Hunan Technology University, Xiangtan 411201 ,China |
| Abstract: | This paper presents a wavelet method for the parametric identification of nonlinear system.By expanding the time-varying stiffness and damping into linear combination of a series scaling functions, the time-varying parameters identification problem is turned to the problem of identifying invariant coefficients,which can be identified by least-square method when the input and output of the structure and the scaling function are known.By this method,the nonlinear shear type structure under earthquake loadings can be better identified and the nonlinear characteristics of the system are not need to be known before identifying.The Tikhonov regularization method reduces the influence of ill condition and obtains the fairly good identification results when measurement noise is existing.Simulations are presented to prove the effectiveness of this method. |
| Keywords: | system identification multi-scale analysis time-varying system |
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