期刊文献+

ERA方法在结构模态分析中的应用研究与案例分析

Research and case analysis on the application of the eigensystem realization algorithm( ERA) in modal parameter identification
下载PDF
导出
摘要 本文简要介绍了结构模态时域分析方法中的EAR方法。并与随机减量法(RD)或NEx T数据处理方法相结合,对网架结构、钢筋混凝土框架结构和多跨钢筋混凝土桥梁结构的三个实际工程进行了整体或局部的模态参数测试、实施方案设计和有限元数值分析。通过研究比较得出,RD/ERA或NEx T/ERA可以有效地提高EAR方法的精度,EAR方法适用于多种结构类型,同时也验证了EAR方法的准确性和实用性,为ERA方法测试模态参数提供了实验理论依据和实际可行性实施方案。最后,讨论了EAR方法的局限与不足。 In this paper,an important time domain method for structural modal parameter identification,the eigensystem realization algorithm( ERA) is briefly introduced. With the method of Random Decrement Technique or Natural Excitation Technique for data processing,the model analysis,modal test scheme and FEM simulation for space truss,RC frame structure and multi span RC bridge are studied. Comparisons with results analysis,RD /ERA and NEx T / ERA have higher accuracy to the direct ERA method,and the EAR method is practical and accurate in real engineering. Finally,the limitation of EAR method is discussed.
出处 《地震工程与工程振动》 CSCD 北大核心 2014年第S1期575-582,共8页 Earthquake Engineering and Engineering Dynamics
基金 中国地震局工程力学研究所基本科研业务费专项(2013B09) 黑龙江省自然科学基金项目(E201245)
关键词 ERA 模态分析 应用 案例 eigensystem realization algorithm(ERA) modal analysis application case
  • 相关文献

参考文献7

二级参考文献13

  • 1Juang J N, Pappa R S. A comparative overview of modal testing and system identification for control of structures [J]. Shock and Vibration Digest, 1988, 20(5): 4- 15.
  • 2Juang J N, Pappa R S. An eigensystem realization algorithm (ERA) for modal parameter identification and model reduction [J]. Journal of Guidance Control and Dynamics, 1985, 8(5): 620-627.
  • 3Juang J N, Wright J R. Eigensystem realization algorithm using data correlations (ERA/DC) for modal parameter identification [J]. Control Theory and Advanced Technology, 1988, 4(1): 5- 14.
  • 4Sujathal V, Chandra Kishen. Energy release rate due to friction at Bi-material interface in dams [J]. J. Engineering Mechanics, 2003(7): 793- 800.
  • 5Schoen M P, Chinvorarat S, Kuo C H. Eigensystem realization with modified genetic algorithm for system identification of noise corrupted processes [C]. ASME International Mechanical Engineering Congress and Exposition, Chicago, IL, United states, 2006.
  • 6Juang J N, Pappa R S. Effects of noise on modal parameters identified by the eigensystem realization algorithm [J]. Journal of Guidance Control and Dynamics, 1986, 9(3): 294-303.
  • 7Huang J N, Phan M. Identification of observer/kalman filter markov parameters: theory and experiments journal of guidance [J]. Control and Dynamics, 1993, 16(2): 320-329.
  • 8Phan M, Horta L G, Juang J N. Linear system identification via an asymptotically stable observer [J]. Journal of Optimization Theory and Applications, 1993, 79(1): 59 -86.
  • 9Wang Y, Lynch J P, Law K H. Wireless sensing technologies for civil infrastructure monitoring and management [R]. Proceedings of the 5th International Seminar for Safety of Infrastructures, 2007.
  • 10赵淳生(译),模态试验理论与实践,1991年,189页

共引文献152

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部