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剪切型框架结构损伤的两步检测方法
引用本文:李林,朱宏平,洪可柱.剪切型框架结构损伤的两步检测方法[J].华中科技大学学报(自然科学版),2005,33(10):22-24.
作者姓名:李林  朱宏平  洪可柱
作者单位:1. 华中科技大学,土木工程与力学学院,湖北,武汉,430074
2. 中国建筑总公司,第三工程局,湖北,武汉,430070
基金项目:国家自然科学基金资助项目(50378041).
摘    要:针对剪切型框架结构提出了分步损伤检测的方法.通过包含较大测量误差的结构一阶振型斜率的变化来判别损伤位置,损伤位置的判别可大大减少待识别参数的数量.理论推导证明,当剪切型框架结构发生损伤时,损伤单元振型斜率的变化大于零,由此可判别损伤位置.在判别出损伤位置的基础上,利用能够较准确获得的结构前几阶固有频率作为神经网络的输入,建立损伤程度识别神经网络,进行结构损伤程度的识别.数值分析表明,该方法能够有效实现剪切型框架结构的损伤检测,并具有很高的计算效率和计算精度.

关 键 词:两步损伤检测  剪切型框架  振型斜率  测试噪声  神经网络
文章编号:1671-4512(2005)10-0022-03
收稿时间:2005-01-10
修稿时间:2005年1月10日

Two-step detection of damage for shear frame structures
Li Lin,Zhu Hongping,Hong Kezhu.Two-step detection of damage for shear frame structures[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2005,33(10):22-24.
Authors:Li Lin  Zhu Hongping  Hong Kezhu
Abstract:A two-step detection of damage for shear frame structures was presented.Firstly,the locations of damage for shear frame structures were estimated by using the changes in the slope of the first order mode shape with measurement noise,which made the number of structural parameters to be identified decrease sharply.Through theoretical derivation,it was seen the change in the slope of the first order mode shape of damage element was greater than zero.Therefore,the location of damage can be estimated by using it as a damage indicator.Then,according to artificial neural network(ANN) algorithm,the extent of structural damage is diagnosed using the first several order frequencies which can be measured accurately.It was demonstrated via numerical simulation that structural damage can be identified satisfactorily with great computational efficiency and high computational accuracy.
Keywords:two-step detection of damage  shear frame structures  slope of mode shape  measurement noise  artificial neural network
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