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Automatic tracking of dynamic characteristics of high-rise structures based on MVMD-SSI and Single-Pass clustering method
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Wei-hua HU1, 2, Zhen ZHANG1, De-hui TANG1, Wei LU1, 2, Jun TENG1, 2
Journal of Vibration Engineering | 2024, 37(9) : 1451 - 1459
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Journal of Vibration Engineering | 2024, 37(9): 1451-1459
Automatic tracking of dynamic characteristics of high-rise structures based on MVMD-SSI and Single-Pass clustering method
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Wei-hua HU1, 2, Zhen ZHANG1, De-hui TANG1, Wei LU1, 2, Jun TENG1, 2
Affiliations
  • 1College of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518056, China
  • 2Guangdong Provincial Key Laboratory of Intelligent and Resilient Structures for Civil Engineering, Shenzhen 518056, China
Published: 2024-09-28 doi: 10.16385/j.cnki.issn.1004-4523.2024.09.001
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Stochastic subspace identification （SSI） generates spurious modes in the process of identifying the dynamic characteristics of high-rise structures，which interferes with the automatic tracking of dynamic characteristics. This article has proved that the non-white noise excitation is one of the causes of spurious modes，and further proposed a signal reconstruction method based on multivariate variational mode decomposition （MVMD） for non-white noise excitation，which removes the influence of non-white noise excitation in signals and eliminates spurious modes. A Single-Pass clustering algorithm is proposed to eliminate discrete spurious poles. The above algorithm has been applied to on-site monitoring data of super high-rise structures，achieving long-term automatic identification and tracking of dynamic characteristics.

high-rise structures  /  stochastic subspace identification  /  multivariate variational modal decomposition  /  dynamic performance  /  automatic tracking
Wei-hua HU, Zhen ZHANG, De-hui TANG, Wei LU, Jun TENG. Automatic tracking of dynamic characteristics of high-rise structures based on MVMD-SSI and Single-Pass clustering method[J]. Journal of Vibration Engineering, 2024 , 37 (9) : 1451 -1459 . DOI: 10.16385/j.cnki.issn.1004-4523.2024.09.001
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Year 2024 volume 37 Issue 9
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Article Info
doi: 10.16385/j.cnki.issn.1004-4523.2024.09.001
  • Receive Date：2023-09-02
  • Online Date：2026-02-12
  • Published：2024-09-28
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  • Received：2023-09-02
  • Revised：2023-11-15
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Affiliations
    1College of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518056, China
    2Guangdong Provincial Key Laboratory of Intelligent and Resilient Structures for Civil Engineering, Shenzhen 518056, China
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