Structural Engineering and Mechanics

  • 제18권6호
  • /
  • Pages.791-806
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  • 2004
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Experiment study of structural random loading identification by the inverse pseudo excitation method

  • Guo, Xing-Lin (Department of Engineering Mechanics, Dalian University of Technology) ;
  • Li, Dong-Sheng (Department of Engineering Mechanics, Dalian University of Technology)
  • 투고 : 2004.05.11
  • 심사 : 2004.07.13
  • 발행 : 2004.12.25
⟨ 이전 논문 다음 논문 ⟩

초록

The inverse pseudo excitation method is used in the identification of random loadings. For structures subjected to stationary random excitations, the power spectral density matrices of such loadings are identified experimentally. The identification is based on the measured acceleration responses and the structural frequency response functions. Numerical simulation is used in the optimal selection of sensor locations. The proposed method has been successfully applied to the loading identification experiments of three structural models, two uniform steel cantilever beams and a four-story plastic glass frame, subjected to uncorrelated or partially correlated random excitations. The identified loadings agree quite well with actual excitations. It is proved that the proposed method is quite accurate and efficient in addition to its ability to alleviate the ill conditioning of the structural frequency response functions.

키워드

참고문헌

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피인용 문헌

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  2. Identification of high frequency loads using statistical energy analysis method vol.35, pp.1-2, 2013, https://doi.org/10.1016/j.ymssp.2012.08.028
  3. EXPERIMENTAL STUDY OF HAMMER IMPACT IDENTIFICATION ON A STEEL CANTILEVER BEAM vol.34, pp.3, 2009, https://doi.org/10.1111/j.1747-1567.2009.00530.x
  4. A state space force identification method based on Markov parameters precise computation and regularization technique vol.329, pp.15, 2010, https://doi.org/10.1016/j.jsv.2010.02.012
  5. An Updated Comparison of the Force Reconstruction Methods vol.347, pp.1662-9795, 2007, https://doi.org/10.4028/www.scientific.net/KEM.347.461
  6. On Optimal Sensor Placement Criterion for Structural Health Monitoring with Representative Least Squares Method vol.413-414, pp.1662-9795, 2009, https://doi.org/10.4028/www.scientific.net/KEM.413-414.383
  7. Experimental Study of a Multipoint Random Dynamic Loading Identification Method Based on Weighted Average Technique vol.2019, pp.None, 2004, https://doi.org/10.1155/2019/7368095