基于时域分析的风载激励下桥梁结构动力特性识别
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摘要
为研究环境激励下针对混凝土桥梁结构动力特性的识别问题,将现有的时域分析方法进行改进。利用自然激励技术与特征系统实现算法相结合,模拟风载激励对一预应力混凝土连续梁桥进行动力特性识别的有限元仿真模拟分析。利用随机减量技术和Ibrahim时域联合算法和有限元模态分析进行结果对比验证。仿真模拟结果表明,基于最常见的环境激励———风载激励识别混凝土梁桥的动力特性参数是行之有效的。运用自然激励技术与特征系统实现算法相结合的时域分析方法识别结果较为准确,为此类结构的健康监测和结构设计提供了有效支持。
The traditional time-domain analysis method was improved to study the dynamic behavior identification of the concrete bridge structure under environmental excitation.Applying the combination of the natural excitation technique and the eigensystem realization algorithm,a finite element numerical simulation was performed for the dynamic behavior identification of a pre-stressed concrete continuous beam bridge under simulating wind load excitation.The results were validated comparatively using the combined algorithm of random decrement technique and Ibrahim time domain technique as well as the finite element modal analysis.The simulation results show that the wind load as the most common environmental excitation can be used effectively to identify the modal parameters of the concrete bridge.The results identified by the combination of the natural excitation technique and the eigensystem realization algorithm are pricise enough for the concrete bridge,providing an effective support for the structure health monitoring and structure design.
The traditional time-domain analysis method was improved to study the dynamic behavior identification of the concrete bridge structure under environmental excitation.Applying the combination of the natural excitation technique and the eigensystem realization algorithm,a finite element numerical simulation was performed for the dynamic behavior identification of a pre-stressed concrete continuous beam bridge under simulating wind load excitation.The results were validated comparatively using the combined algorithm of random decrement technique and Ibrahim time domain technique as well as the finite element modal analysis.The simulation results show that the wind load as the most common environmental excitation can be used effectively to identify the modal parameters of the concrete bridge.The results identified by the combination of the natural excitation technique and the eigensystem realization algorithm are pricise enough for the concrete bridge,providing an effective support for the structure health monitoring and structure design.
引文
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[2]Siringoringo D M,Fujino Y.System identificationof suspension bridge from ambient vibration re-sponse[J].Engineering Structures,2008,30(2):462-477.
[3]侯立群,欧进萍.基于时频分析的运营桥梁模态参数识别方法[J].振动工程学报,2009,22(1):19-25.Hou Li-qun,Ou Jin-ping.Modal parameters identi-fication of bridge in serve based on time-frequency a-nalysis[J].Journal of Vibration Engineering,2009,22(1):19-25.
[4]廖庆斌,李舜酩,朱丽娟.基于随机激励的某机匣模态实验与分析[J].航空动力学报,2005,20(6):932-936.Liao Qing-bin,Li Shun-ming,Zhu Li-juan.Modalexperiment and analysis of an engine casing based onstochastic excitation[J].Journal of Aerospace Pow-er,2005,20(6):932-936.
[5]淡丹辉,孙利民.在线监测环境下土木结构的模态识别研究[J].地震工程与工程振动,2004,24(3):82-88.Dan Dan-hui,Sun Li-min.Research on structuremodal identification under online monitoring condi-tions[J].Earthquake Engineering and EngineeringVibration,2004,24(3):82-88.
[6]钟万勰,林家浩,吴志刚,等.大跨度桥梁分析方法的一些进展[J].大连理工大学学报,2000,40(2):127-135.Zhong Wan-xie,Lin Jia-hao,Wu Zhi-gang,et al.Development of analytical method for long-spanbridges[J].Journal of Dalian University of Technol-ogy,2000,40(2):127-135.
[7]姜浩,郭学东,杨焕龙.环境激励下桥梁结构模态参数识别方法的研究[J].振动与冲击,2008,27(11):126-128.Jiang Hao,Guo Xue-dong,Yang Huan-long.Re-search on modal identification of bridge structure un-der ambient excitation[J].Journal of Vibration andShock,2008,27(11):126-128.
[8]James G H,Carne T G,Lauffer J P.The naturalexcitation technique(NExT)for modal parameterextraction from operating structures[J].Interna-tional Journal of Analytical and Experimental ModalAnalysis,1995,10(4):260-277.
[9]Lian Ji-jian,Li Huo-kun,Zhang Jian-wei.ERA mo-dal identification method for hydraulic structuresbased on order determination and noise reduction ofsingular entropy[J].Science in China Series E-Technological Sciences,2009,52(2):400-412.
[10]Ibrahim S R.Efficient random decrement computa-tion for identification of ambient responses[C]∥Proceeding of 19 IMAC,Florida,USA,2001.
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