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Energy-based dynamic parameter identification for Pasternak foundation model

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Abstract

Parameter identification of Pasternak foundation models (PFM) is never satisfactory, which discourages the application and popularization of PFM. In the present study, an energy-based model to predict the dynamic foundation coefficients was proposed using the vibration kinetic energy and potential energy of a Pasternak foundation-rigid plate system. On the basis of the Pasternak foundation, the relationship among the natural frequency, dynamic foundation coefficients, rigid plate configuration, and vibrating soil equivalent mass per unit area was considered. To obtain the natural frequencies of the Pasternak foundation-rigid plate system, dynamic tests were performed. Using two or more dynamic test results of various rigid plates on a foundation, a set of equations of dynamic foundation coefficients was set up to directly identify the foundation coefficients and equivalent mass per unit area of vibrating soil. The feasibility of the proposed method was verified by comparing it with the outdoor and indoor test results and finite element analysis results. When the proposed method is used to obtain the dynamic parameters, PFM can be generalized and applied more widely in engineering practice.

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Authors and Affiliations

  1. College of Civil Engineering, Hunan University, Changsha, 410082, China

    Wang-** Zhang, Wei-Lei Lv, **ong Wang & Wei-Jian Yi

  2. Hunan Provincial Key Lab on Diagnosis for Engineering Structures, Hunan University, Changsha, 410082, China

    Wang-** Zhang

  3. School of Civil Engineering, Hunan University of Science and Technology, **angtan, 411201, China

    **-Yi Zhang

  4. School of Architecture, Konkuk University, 120 Neungdong-ro, Seoul, 05029, Korea

    Hyeon-Jong Hwang

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  1. Wang-** Zhang
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  2. Wei-Lei Lv
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  3. **-Yi Zhang
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  4. **ong Wang
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  5. Hyeon-Jong Hwang
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Correspondence to Hyeon-Jong Hwang.

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Zhang, WX., Lv, WL., Zhang, JY. et al. Energy-based dynamic parameter identification for Pasternak foundation model. Earthq. Eng. Eng. Vib. 20, 631–643 (2021). https://doi.org/10.1007/s11803-021-2043-6

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