[1]韩建平,张鸿宇,安鹏强.基于自然激励技术和FT时移特性的模态阻尼比识别方法[J].世界地震工程,2020,(03):019-26.
 HAN Jianping,ZHANG Hongyu,An Pengqiang.Approach for identifying modal damping ratios based on natural excitation technique and time-shifting property of FT[J].,2020,(03):019-26.
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基于自然激励技术和FT时移特性的模态阻尼比识别方法
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《世界地震工程》[ISSN:/CN:]

卷:
期数:
2020年03期
页码:
019-26
栏目:
出版日期:
2020-08-30

文章信息/Info

Title:
Approach for identifying modal damping ratios based on natural excitation technique and time-shifting property of FT
作者:
韩建平12 张鸿宇12 安鹏强3
1. 兰州理工大学 甘肃省土木工程防灾减灾重点实验室, 甘肃 兰州 730050;
2. 兰州理工大学 西部土木工程防灾减灾教育部工程研究中心, 甘肃 兰州 730050;
3. 航天长征化学工程股份有限公司 兰州分公司, 甘肃 兰州 730010
Author(s):
HAN Jianping12 ZHANG Hongyu12 An Pengqiang3
1. Key Laboratory of Disaster Prevention and Mitigation in Civil Engineering of Gansu Province, Lanzhou University of Technology, Lanzhou 730050, China;
2. Western Engineering Research Center of Disaster Mitigation in Civil Engineering of Ministry of Education, Lanzhou University of Technology, Lanzhou 730050, China;
3. Lanzhou Branch, Changzheng Engineering Co., Ltd., Lanzhou 730010, China
关键词:
模态阻尼比刚构-连续组合梁桥自然激励技术傅里叶变换随机子空间法
Keywords:
modal damping ratiorigid frame-continuous girders bridgenatural excitation techniqueFourier Transformstochastic subspace identification
分类号:
TU311.3
摘要:
基于环境激励下结构动力响应信号分析与处理识别结构的模态参数,是结构健康监测和损伤诊断的一个重要环节,目前为止,要得到较为可靠的识别结果仍有一定困难,尤其是模态阻尼比。基于自然激励技术和傅里叶变换的时移特性,提出了一种新的结构模态阻尼比估算方法,通过理论推导和仿真算例验证了该方法的可行性,进而利用一刚构-连续组合梁桥在环境激励下的动力测试数据,通过该方法对其阻尼比进行了识别,并将识别结果与数据驱动随机子空间法的识别结果进行了对比。结果表明:提出的方法可以减轻噪声影响,得到可接受的识别结果,可为大型工程结构阻尼比的识别提供一个方便和有效的途径。
Abstract:
Identification of structural modal parameters via processing the dynamic response signals under ambient excitation is an important procedure for structural health monitoring and damage diagnosis. Up to now, it is still difficult to obtain very reliable identification results, especially for modal damping ratios. Therefore, a new approach was proposed for identifying structural modal damping ratios based on Natural Excitation Technique (NExT) and time-shifting property of Fourier Transform (FT) in this paper. First, the feasibility of this approach is verified by theoretical derivation and numerical simulation. Then, the modal damping ratios of a rigid frame-continuous girders bridge were identified based on the dynamic test results under ambient excitation by the proposed approach and data-driven stochastic subspace identification (SSI-DATA), respectively. Comparison of the identification results indicates that the proposed approach is capable to alleviate the noise effect and obtain the favorable results. It can provide a convenient and efficient way to identify the damping ratios of large-scale engineering structures.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2020-01-15;改回日期:2020-06-02。
基金项目:国家自然科学基金(51578273);教育部长江学者和创新团队发展计划(IRT_17R51)
作者简介:韩建平(1970-),男,教授,博士,博士生导师,主要从事结构抗震、减震控制及损伤识别研究.E-mail:jphan@lut.cn
更新日期/Last Update: 1900-01-01