作者：侯吉林^1,2, 王海燕¹, 陈正弟¹, JANKOWSKI Łukasz³

作者单位：1. 大连理工大学土木工程学院, 辽宁 大连 116023;
2. 大连理工大学 海岸和近海工程国家重点实验室, 辽宁 大连 116023;
3. 波兰科学院基础技术研究所智能技术部, 波兰 华沙 02-106

关键词：结构健康监测;损伤识别;附加虚拟质量;局部动态测试

摘要：

为解决试验数据采集量少、数据信息不完备、结构局部损伤识别敏感性低等问题，提出利用结构局部动力测试数据进行结构损伤的方法。首先，通过原结构局部动力测试试验，得到原结构的局部激励时程曲线和加速度响应时程曲线；然后，在试验数据基础上，根据附加虚拟质量法构造新结构，并求得新结构的加速度频率响应函数；接着，根据频率响应函数，识别出新结构的试验频率，并将该频率与有限元模型计算得到理论频率对比，识别原结构的损伤。桁架结构的局部动力测试结果表明，所提方法可以准确地识别出桁架结构的损伤，并且具有较高的精度。

Structural damage identification method and experiment based on local dynamic testing
HOU Jilin^1,2, WANG Haiyan¹, CHEN Zhengdi¹, JANKOWSKI Łukasz³
1. School of Civil Engineering, Dalian University of Technology, Dalian 116023, China;
2. State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China;
3. Smart-Tech Centre, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw 02-106, Poland
Abstract: In order to solve the problems of small amount of test data collection, incomplete data information and low sensitivity of structural local damage identification, a method of structural damage identification based on structural local dynamic test data is proposed. First, through the local dynamic test of the original structure, the local excitation time history curves and acceleration response time history curves of the original structure are obtained; then, based on the test data, the new structure is constructed according to the additional virtual mass method, and the acceleration frequency response function of the new structure is obtained; then, according to the frequency response function, the test frequencies of the new structure are identified, and the frequencies are compared with the theoretical frequencies calculated by the finite element model to identify the damage of the original structure. Finally, the local dynamic test results of truss structure show that the proposed method can accurately identify the damage of the structure, and has high accuracy.
Keywords: structural health monitoring;damage identification;additional virtual mass;local dynamic testing
2020, 46(6):135-139  收稿日期: 2019-11-20;收到修改稿日期: 2020-01-05
基金项目: 国家重点研发计划（2018YFC0705604）；国家自然科学基金（51878118）；中央高校基本科研业务费专项基金（DUT19LK11）
作者简介: 侯吉林(1979-),男,吉林长春市人,副教授,博士,主要从事结构健康监测和损伤识别方向的研究
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