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Unsupervised identification of arbitrarily-damped structures using time-scale independent component analysis: Part I

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Abstract

In this study, a new method is proposed to identify the dynamic parameters of structures with higher accuracy compared to current methods. First, the wavelet-transformed representation of system responses is extracted from measured responses, and then the independent component analysis is used to achieve the modal characteristics. The simulation results of a multi-degree-of-freedom system illustrate that this method is capable of accurately identifying the modal information of lightly- and highly-damped structures. It is represented that continuous wavelet transform, due to its adaptive time-frequency resolution, is more efficient to be incorporated into independent component analysis compared to Short time Fourier transform (STFT). The latter is unable to accurately determine the modal response, especially at higher frequencies, while the proposed method can identify the system with marked accuracy. The efficiency of proposed method is also investigated under additive noise. Results shown that for highly- and lightly- damped system, the proposed method is able to capture the modal parameters especially in higher frequencies of vibration, along with the modal assurance criterion values with satisfactory accuracy, which indicates the robustness of the procedure compared to other available methodologies.

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Author information

Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA

    Alireza Farzampour

  2. Department of Civil and Environmental Engineering, University of Vermont, Burlington, VT, USA

    Arash Kamali-Asl

  3. Department of Civil and Environnemental Engineering, Incheon National University, Incheon, 22012, Korea

    Jong Wan Hu

  4. Incheon Disaster Prevention Research Center, Incheon National University, Incheon, 22012, Korea

    Jong Wan Hu

Authors
  1. Alireza Farzampour
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  2. Arash Kamali-Asl
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  3. Jong Wan Hu
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Corresponding author

Correspondence to Jong Wan Hu.

Additional information

Recommended by Associate Editor Gyuhae Park

Alireza Farzampour is a third-year Ph.D. student at Virginia Tech in Structures. He received his Bachelor’s and Master’s at Sharif University of Technology. His areas of interest include stability of structures, steel shear wall, dynamical systems, seismic hazard analysis and system identification of structures.

Arash Kamali Asl is a third-year Ph.D. student at University of Vermont in Geosystems Laboratory. He got his Bachelor’s and Master’s in civil engineering from Zanjan and Sharif University of Technology. His areas of interest include rapid seismic hazard analysis, dynamical systems and system identification.

Jong Wan Hu received his M.S. degrees from (1) G.W.W. School of Mechanical Engineering and (2) School of Civil and Environmental Engineering, respectively, in Georgia Institute of Technology. He then received his Ph.D. degree from School of Civil and Environmental Engineering, Georgia Institute of Technology. Dr. Hu has been Post-Doctorate Research Fellow at Structural, Mechanics, and Material Research Group in Georgia Institute of Technology. Dr. Hu also worked as an Associate Research Fellow at the Korea Institute of S&T Evaluation and Planning (KISTEP) and an Assistant Administrator at the National S&T Council (NSTC) for two years. He is currently an Assistant Professor in the University of Incheon. He has been active in the member of ASME and ASCE. His research interests are in the area of computational solid mechanics, composite materials, and plasticity modeling.

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Farzampour, A., Kamali-Asl, A. & Hu, J.W. Unsupervised identification of arbitrarily-damped structures using time-scale independent component analysis: Part I. J Mech Sci Technol 32, 567–577 (2018). https://doi.org/10.1007/s12206-018-0104-6

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  • DOI: https://doi.org/10.1007/s12206-018-0104-6

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