期刊文献+

基于有限测点信息的结构多种响应重构 被引量:3

Multi-type structural responses reconstruction using limited number of sensors
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摘要 利用有限数目的传感器测量响应来重构未测点的多种响应。该方法是基于卡尔曼滤波算法,考虑传感器位置的优化,并融合应变、位移和加速度响应信息,实现从已有的有限数目测量响应数据到结构上未测点响应的预测。用桁架结构数值模拟了该方法的使用,并验证了该方法的有效性和适用性。 This paper aimed to present a new method of multi-type structural response reconstruction at the locations,where sensors was not available by using limited number of sensors. The multi-type structural responses refer to strain,displacement and acceleration responses. Considering the optimal locations of sensors,the responses at unmeasured locations were reconstructed based on Kalman filtering algorithm. A two-dimensional truss structure was then presented as a numerical example to investigate the effectiveness and accuracy of the proposed approach. The results indicated that the reconstructed responses were in good agreement with the real ones.
出处 《南昌大学学报(工科版)》 CAS 2016年第2期147-151,共5页 Journal of Nanchang University(Engineering & Technology)
基金 福建省教育厅科研资助项目(JA15090) 福州大学科技发展基金资助项目(2014-XY-26)
关键词 有限测点 多种响应信息 卡尔曼滤波算法 传感器位置 响应重构 limited number of sensors multi-type responses Kalman filtering algorithm sensor placement response reconstruction
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参考文献15

  • 1XU Y L, XIA Y. Structural health monitoring of long span suspension bridges [ M ]. UK: Spon Press,2012.
  • 2李惠,欧进萍.斜拉桥结构健康监测系统的设计与实现(II):系统实现[J].土木工程学报,2006,39(4):45-53. 被引量:79
  • 3KAMMER D C. Estimation of structural response using re- mote sensor locations [ J ]. Journal of Guidance, Control and Dynamics, 1997,20:501 - 508.
  • 4MACE B R, HALKYARD C R. Time domain estimation of response and Intensity in beams using wave decomposition and reconstruction [ J ]. Journal of Sound and Vibration, 2000,230:561 - 589.
  • 5LAW S S, LI J, DING Y. Structural response reconstruc- tion with transmissibility concept in frequency domain [ J ]. Mechanical Systems and Signal Processing, 2011,25 (3) :952 -968.
  • 6LI J, LAW S S. Substructural response reconstruction in wavelet domain [ J ]. Journal of Applied Mechanics ASME,2011,78(4) :041010.
  • 7HE J, GUAN X, LIU Y. Structural response reconstruction based on empirical mode decomposition in time domain [J ]. Mechanical Systems and Signal Processing, 2012, 28:348 - 366.
  • 8WAN Z M, LI S D, HUANG Q B, et al. Structural response reconstruction based on the modal snperposition method in the presence of closely spaced modes [ J ]. Mechanical Sys- tems and Signal Processing,2014,42(1/2) : 14 - 30.
  • 9ILIOPOULOS A, SHIRZADEH R, WEIJTJENS W, et al. A Medal decomposition and expansion approach for prediction of dynamic response on a monopole offshore wind turbine using a limited number of vibration sensors[J]. Mechanical Systems and Signal Processing,2016,68 - 69:84 - 104.
  • 10STUDER M, PETERS K, Multi-scale sensing for damage identification [ J ]. Smart Materials and Structures, 2004, 13:283 - 294.

二级参考文献11

  • 1Ou Jinping.Some recent advances of intelligent health monitoring systems for civil infrastructures in China's Mainland[C] // Proc.of the First International Conference on Structural Healthmonitoring and Intelligent Infrastructure.Tokyo,Japan:2003:131-144
  • 2Ou Jinping.Practical implementations of intelligent health monitoring systems in HIT[C] //Proc.of North American Euro Pacific Workshop for Sensing Issues in Civil Structural Health Monitoring.Hawaii,USA:2004
  • 3Jose L Z,Maria P G.Numerical simulation of a methodfor seismic damage identification in buildings. En-gineering Structures . 2006
  • 4Lawrence A K.Sensor and data fusion. . 2007
  • 5Humar Jag,Bagchi Ashutosh,Xu Hongpo.Performance of vibration-based techniques for the identification of structural damage. Structural Health Monitoring . 2006
  • 6Khoo LM,Mantena PR,Jadhav P.Structural damage assessment using vibration modal analysis. Structural Health Monitoring . 2004
  • 7Schulz Mark J,Ghoshal Anindya,Sundaresan Mannur J,Pai P Frank,Chung Jaycee H.Theory of damage detection using constrained vibration deflection shapes. Structural Health Monitoring . 2003
  • 8W.T. Yeung and J.W. Smith.Damage detection in bridges using neural networks for pattern recognition of vibration signatures. Engineering Structures . 2005
  • 9Chang P C,F latau A,L iu S C.Rev iew paper:healthm onitoring of civ il infrastructure. Structural H ealthM onitoring . 2003
  • 10Cardini A J,Dewolf J T.Long-term structural health monitoring of a multi-girder steel composite bridge using strain data. Structural Health Monitoring . 2009

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