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Dynamic Characteristics Identification of an Arch Dam Model via the Phase-Based Video Processing

  • Hydraulic Engineering
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

In recent years, the extraction of structural dynamic characteristics by using phase-based video processing has attracted considerable attention. Edge detection routine is oftentimes employed to obtain the quantified operational deflection shape (ODS) vectors of structures. However, this approach is unreliable because of intensive human supervision and correction. To reduce operational uncertainty, a hybrid computer-vision-based approach called edge detection-region labeling, which involves vision sensor preparation, bottom-hat filtering, edge detection, hole filling, and region labeling, was presented in this work to extract the quantified ODS’s. The performance of this method was firstly evaluated by conducting a lab-scale cantilever beam test and subsequently the phase-based video processing was applied to extract the dynamic characteristics of an arch dam model. The operational modal analysis (OMA) test was conducted on the benchmark dam model. In-plane motions of the dam were captured and processed to identify the natural frequencies of the dam. The structural ODS’s were quantified using the proposed method. A comparison of the modal parameters of the dam identified from the video data with those obtained in the OMA test revealed that the two sets of results were consistent, and the video processing approach was able to bypass the requirement of human supervision, which facilitates the application of the phase-based video processing for complex structures.

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Acknowledgments

The authors gratefully appreciate the supports from the State Key Program of National Natural Science Foundation of China (No. 51939008), the National Key Research and Development Program of China (No. 2018YFC0407104), the Post-doctoral Innovation Post in Hubei Province, the Major Program of Technological Innovation of Hubei Province (No. 2017ACA102), and the China Scholarship Council (No. 201706270085). The first and second authors would like to acknowledge the host of the Structural Dynamics and Acoustic Systems Laboratory at the University of Massachusetts Lowell where part of the research presented in this article is conducted.

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Authors and Affiliations

  1. Changjiang Institute of Survey, Planning, Design and Research, Wuhan, 430010, China

    Qi Li & Xinqiang Niu

  2. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China

    Gaohui Wang & Wenbo Lu

  3. Structural Dynamics and Acoustic Systems Laboratory, University of Massachusetts Lowell, Lowell, MA, 01854, USA

    Aral Sarrafi & Zhu Mao

Authors
  1. Qi Li
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  2. Gaohui Wang
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  3. Aral Sarrafi
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  4. Xinqiang Niu
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  5. Wenbo Lu
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  6. Zhu Mao
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Correspondence to Gaohui Wang.

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Li, Q., Wang, G., Sarrafi, A. et al. Dynamic Characteristics Identification of an Arch Dam Model via the Phase-Based Video Processing. KSCE J Civ Eng 25, 140–152 (2021). https://doi.org/10.1007/s12205-020-0400-z

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  • DOI: https://doi.org/10.1007/s12205-020-0400-z

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