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环境激励下线性结构模态参数辨识方法的最新进展 被引量：1

A New Development of Modal Parameter Identification Based Ambient Excitation
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摘要 本文根据国内外最新文献,对目前环境激励线性结构模态参数的辨识方法如频域分解法、ARMA模型法、NExT法、随机子空间法、时频分析方法和基于相关函数分解法等进行了评述,讨论了各方法在理论上和实际应用中存在的问题,对环境激励的模态参数识别方法的发展方向和趋势进行了探讨.
作者 郑栋梁 李中付
机构地区 中国人民解放军桂林陆军学院 上海交通大学振动冲击噪声实验室
出处 《测试技术学报》 2002年第z2期1439-1447,共9页 Journal of Test and Measurement Technology
关键词 环境激励 模态分析 参数识别 随机振动
分类号 TB9-55 [机械工程—测试计量技术及仪器]
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参考文献35

  • 1[3]James G. H., Came TG., Lauffer J.P., The Natural Excitation Technique (NExT) for Modal Parameter Extraction from Operating Structures, Modal Analysis, V 10(14), 1995, 260-277
  • 2[4]Herman Van der Auweraer, Luc Hermans, Application of Structural Modal Identification During Normal Operation Conditions: An Overview of the EUREKA project SINOPSYS, 17th IMAC, 1999, Florida, pp. 27-34
  • 3[5]Asmussen, J.C. et al, Ambient modal testing of the VESTVEJ bridge using random decrement, Proceedings of 17th IMAC, 1999, Florida, pp. 922-928
  • 4[6]Kevin Womack and Jeff Hodson, System Identification of The Z24 SWISS Bridge, Proceedings of 19th IMAC, Florida, USA, February 5-8, 2001:842-845
  • 5[7]Paul Reynolds and Aleksandar Pavic, Comparison Of Forced And Ambient Vibration Measurements on A Bridge, Proceedings of 19th IMAC, Florida, USA, February 5-8, 2001:846-851
  • 6[9]L.Hermans, et al,In flight Modal Testing and Analysis Of A Helicopter, Proceedings of 17th IMAC, 1999, Florida, pp. 80-86
  • 7[10]Asmussen, J.C., The Random Decrement Technique Application to Identification of Civil Engineering Structures, Ph.D. Dissertation, Aalborg University, 1997
  • 8[11]Andersen P.& Brincker R.et al, Comparison of System Identification Methods Using Ambient Bridge Test Data, Proceedings of 17thIMAC, 1999, 1035-1041
  • 9[12]Guid De Roeck et al, Benchmark Study on System Identification through Ambient Vibration Measurements, 18thIMAC, 2000, 1106-1112
  • 10[13]Rune Brincker et al, Modal Identification fiom Ambient Responses Using Frequency Domain Decomposition, Proceedings 18thIMAC, 2000:625-630

同被引文献11

  • 1Peters B, Roeck D G. Stochastic system identification for operational modal analysis: a review[J]. Journal of Dynamics, Measurement, and Control, ASME, 2001, 123 (4).
  • 2Brinker R, Zhang L, Anderden P. Modal identification from ambient responses using frequency domain de- composition[A]. Proceedings of 18th IMAC[C]. 2000.
  • 3Ibrahim S R. Random decrement technique for modal i- dentification of structure[J]. Journal of Spacecraft and Rockets, 1977,14(11).
  • 4Ibrahim S R, Mikulcik E C. A method for the direct identi- fication of vibration parameters from the free response [J]. The Shock and Vibration Bulletin, 1977,47(4).
  • 5James G H, Garne T G. Thenatural excitation tech- nique (NEXT) for modal parameter extraction from ambient operating structure[J]. The International Journal of Analytical and Experimental Analysis, 1995,10(4).
  • 6Akaike H. Stochastic theory of minimal realization[J]. IEEE Transactions on Automatic Control, 1974,19.
  • 7Overschee P V, Moor B D. Subspace algorithm for the stochastic identification problem [J]. Automatic, 1993, 29(3).
  • 8Peeter B,Roeck G D. Reference-based stochastic sub- space identification for output-only modal analysis[J]. Mechanical System and Signal Processing, 1999, 3(6).
  • 9常军,孙利民,张启伟.基于两阶段稳定图的随机子空间识别结构模态参数[J].地震工程与工程振动,2008,28(3):47-51. 被引量：12
  • 10续秀忠,华宏星,陈兆能.基于环境激励的模态参数辨识方法综述[J].振动与冲击,2002,21(3):1-5. 被引量：131

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测试技术学报
2002年 第z2期

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