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Volume 47 Issue 4
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ZHAO Zening, DUAN Wei, CAI Guojun, WU Meng, LIU Songyu. Improvement and probabilistic form of CPT-based liquefaction evaluationmodel in Chinese code[J]. Chinese Journal of Geotechnical Engineering, 2025, 47(4): 869-876. DOI: 10.11779/CJGE20240107
Citation: ZHAO Zening, DUAN Wei, CAI Guojun, WU Meng, LIU Songyu. Improvement and probabilistic form of CPT-based liquefaction evaluationmodel in Chinese code[J]. Chinese Journal of Geotechnical Engineering, 2025, 47(4): 869-876. DOI: 10.11779/CJGE20240107
shu

Improvement and probabilistic form of CPT-based liquefaction evaluationmodel in Chinese code

  • 1.

    Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China

  • 2.

    Institute of Geotechnical Engineering, Southeast University, Nanjing 211189, China

  • 3.

    College of Civil Engineering, Taiyuan University of Technology, Taiyuan 030024, China

  • 4.

    School of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China

  • 5.

    School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China

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  • Received Date: February 01, 2024
  • Available Online: September 26, 2024
    Graphical Abstract
    • Abstract
  • The cone penetration test (CPT) is commonly used to evaluate sand liquefaction potential due to its efficiency and reliability. The typical CPT method (Chinese code method) shows unreasonable results in fine-grained and deep soils, and the results are difficult to be integrated into probabilistic risk assessments. In this study, a novel CPT hyperbolic probabilistic model is proposed to improve the Chinese code method based on the Bayesian weighted maximum likelihood estimation by considering the effects of fines content, the uncertainties and sampling bias. The critical cone tip resistance corresponding to a liquefaction probability (PL) of 15% is recommended as the deterministic method. Case studies demonstrate the reliability of the proposed method. The results show that the critical cone tip resistance of the CPT hyperbolic model increases with the depth, and gradually stabilizes, which can better reflect the dynamic propertices of soils. The model can be applied to deep and high-fines-content soils, and the performance is better than the Chinese code method and widely-used Robertson and Wride's method. For sites with high uncertainties, the probabilistic models can be used as an alternative or supplement to deterministic ones.
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    • References (23)
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