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Numerical Analysis of Spectrum Characteristics of the Coseismic Response

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1342))

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Abstract

In this paper, take the deformation instrument observation data of Daixian seismostation as the research object, and select the wave shape data of near and far earthquakes loaded them into the finite element model, obtained the theoretical response curves of deformation monitoring points, and using the S-transform time-frequency analysis method analyzed the time-frequency characteristics of deformation coseismic response at different epicentre distances. The results showed that: (1) The coseismic deformation waves mainly reflect the far-field surface waves such as love wave and Rayleigh wave; (2) Both the vertical pendulum inclinometer and the pipe inclinometer have good recording ability for the coseismic deformation wave; (3) With the increase of the distance between the epicentre, the seismic waves disperse, the energy constantly decays, the coseismic amplitude decreases, the surface wave and the body wave gradually separate, and the duration of the coseismic deformation wave becomes longer; (4) The numerical simulation method can overcome the natural frequency characteristic of the instrument and the damping coefficient of the instrument, and can truly reflect the stress-strain response near the measuring point disturbed by external signals.

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Acknowledgements

Foundation support: Shanxi Youth Science and Technology Research Fund (No. 201901D211550); The Earthquake Tracking Task of CEA (No. 2020010216, No. 2019010218); Research Project of Shanxi Earthquake Agency, No. SBK-1803. Combination Project with Monitoring, Prediction and Scientific Research of Earthquake Technology, CEA, No. CEA-JC/3JH-160403; Shanxi Key R & D Program Project (201903D321013).

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Authors and Affiliations

  1. Shanxi Earthquake Agency, Taiyuan, 030021, Shanxi, China

    Hongwei Li & Shuliang Zhang

Authors
  1. Hongwei Li
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  2. Shuliang Zhang
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Corresponding author

Correspondence to Shuliang Zhang .

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Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  2. Department Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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Li, H., Zhang, S. (2021). Numerical Analysis of Spectrum Characteristics of the Coseismic Response. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_111

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