Structural Engineering and Mechanics

  • 제56권3호
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  • Pages.423-442
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  • 2015
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

High-order, closely-spaced modal parameter estimation using wavelet analysis

  • Le, Thai-Hoa (Department of Civil and Environmental Engineering, Northeastern University) ;
  • Caracoglia, Luca (Department of Civil and Environmental Engineering, Northeastern University)
  • 투고 : 2015.04.10
  • 심사 : 2015.10.20
  • 발행 : 2015.11.10
⟨ 이전 논문 다음 논문 ⟩

초록

This study examines the wavelet transform for output-only system identification of ambient excited engineering structures with emphasis on its utilization for modal parameter estimation of high-order and closely-spaced modes. Sophisticated time-frequency resolution analysis has been carried out by employing the modified complex Morlet wavelet function for better adaption and flexibility of the time-frequency resolution to extract two closely-spaced frequencies. Furthermore, bandwidth refinement techniques such as a bandwidth resolution adaptation, a broadband filtering technique and a narrowband filtering one have been proposed in the study for the special treatments of high-order and closely-spaced modal parameter estimation. Ambient responses of a 5-story steel frame building have been used in the numerical example, using the proposed bandwidth refinement techniques, for estimating the modal parameters of the high-order and closely-spaced modes. The first five natural frequencies and damping ratios of the structure have been estimated; furthermore, the comparison among the various proposed bandwidth refinement techniques has also been examined.

키워드

참고문헌

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피인용 문헌

  1. Mode identifiability of a cable-stayed bridge using modal contribution index vol.20, pp.2, 2017, https://doi.org/10.12989/sss.2017.20.2.115
  2. System Identification of Structures with Severe Closely Spaced Modes Using Parametric Estimation Algorithms Based on Complex Mode Indicator Function with Singular Value Decomposition vol.24, pp.9, 2015, https://doi.org/10.1007/s12205-020-1068-0
  3. Tracking the variation of complex mode shapes for damage quantification and localization in structural systems vol.169, pp.None, 2022, https://doi.org/10.1016/j.ymssp.2021.108731