首页 | 本学科首页   官方微博 | 高级检索  
     检索      

灰色系统模型在结构损伤识别中的应用
引用本文:薛松涛,钱宇音,陈镕,王远功.灰色系统模型在结构损伤识别中的应用[J].上海力学,2003,24(4):528-533.
作者姓名:薛松涛  钱宇音  陈镕  王远功
作者单位:[1]近畿大学理工学部建筑学科,日本大阪 [2]同济大学结构工程与防灾研究所,上海200092
基金项目:国家杰出青年科学基金(批准号:59925820)
摘    要:开发结构健康监测系统是结构损伤识别的一个重要课题。由于建筑结构具有很多不确定因素,通过模态分析识别结构损伤的精度很难保证。本文提出一种灰色系统模型应用于结构损伤识别的方法。建立频率变化率和刚度变化的灰色系统模型,把一阶单变量的灰色模型(M(1,1))作为频率变化率和刚度变化之间的系统,通过一阶单变量的灰色模型(M(1,1))预测来体现结构动力指纹的整体功能,确定频率变化率和刚度变化之间的关系变量。为了验证理论,对多种工况进行了框架结构模型的振动试验并对结果进行了分析。试验结果表明:对于层间剪切结构,通过测量结构频率变化,建立的灰色系统模型可以较准确地确定结构的损伤位置和损伤程度,并使识别精度得到有效提高。

关 键 词:灰色系统  损伤参数识别  紧邻均值生成  振动试验
文章编号:0254-0053(2003)04-0528-06
修稿时间:2002年5月24日

Application of Grey Control System Model In Structural Damage Identification
XUE Song-tao,QIAN Yu-yin,CHEN Rong,WANG Yuan-gong.Application of Grey Control System Model In Structural Damage Identification[J].Chinese Quarterly Mechanics,2003,24(4):528-533.
Authors:XUE Song-tao  QIAN Yu-yin  CHEN Rong  WANG Yuan-gong
Abstract:Development of construction health monitoring system becomes an important task for structure damage identification. Since the building structure has many indeterminable factors, the method using modal analysis to identify the structure damage is of less precision. A method applying the grey system to the structural damage identification was presented. The grey system of the frequency variance rate and the stiffness change was established with first-order single argument grey system(GM (1,1)). GM(1,1) prediction was used to reflect the global function of the structural dynamic fingerprints and the relation of the frequency variance rate and stiffness change was fond out. Vibration tests for frame structures were carried out, with considered many cases, including single-damage and multi-damage with different degrees and locations. The results show that for shear buildings, damage degree and location can be determined by using the grey system created through measuring frequency change.
Keywords:grey system  damage parameter identification  mean generation with consecutive neighbors  vibration test
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号