考虑地层变异和趋势非线性的海床波速结构非平稳随机场模拟方法

张岩; 陈国兴; 赵凯; 方怡; 彭艳菊

doi:10.3799/dqkx.2023.055

Volume 49 Issue 11

Nov. 2024

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Article Navigation > Earth Science > 2024 > 49(11): 4225-4237

Zhang Yan, Chen Guoxing, Zhao Kai, Fang Yi, Peng Yanjü, 2024. Non-Stationary Random Field Simulation Method of Seabed Site Shear Wave Velocity Structures Considering Stratigraphy Variation and Nonlinear Trend. Earth Science, 49(11): 4225-4237. doi: 10.3799/dqkx.2023.055

Citation:

Zhang Yan, Chen Guoxing, Zhao Kai, Fang Yi, Peng Yanjü, 2024. Non-Stationary Random Field Simulation Method of Seabed Site Shear Wave Velocity Structures Considering Stratigraphy Variation and Nonlinear Trend. Earth Science, 49(11): 4225-4237. doi: 10.3799/dqkx.2023.055

Citation:

Zhang Yan, Chen Guoxing, Zhao Kai, Fang Yi, Peng Yanjü, 2024. Non-Stationary Random Field Simulation Method of Seabed Site Shear Wave Velocity Structures Considering Stratigraphy Variation and Nonlinear Trend. Earth Science, 49(11): 4225-4237. doi: 10.3799/dqkx.2023.055

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Non-Stationary Random Field Simulation Method of Seabed Site Shear Wave Velocity Structures Considering Stratigraphy Variation and Nonlinear Trend

doi: 10.3799/dqkx.2023.055

Zhang Yan^{1
,
,},
Chen Guoxing^{1, 2
,
,},
Zhao Kai^{1, 2},
Fang Yi^{1, 3},
Peng Yanjü³

1.
Institute of Geotechnical Engineering, Nanjing University of Technology, Nanjing 210009, China
2.
Civil Engineering and Earthquake Disaster Prevention Center of Jiangsu Province, Nanjing 210009, China
3.
National Institute of Natural Hazards, Beijing 100085, China

Received Date: 2023-02-21
Publish Date: 2024-11-25

Abstract

Abstract

The spatial variabilities of stratigraphy and S-wave velocity (V_s) structures have significant influence on the results of seismic site response analyses. Based on the borehole data of the seabed of Bohai Bay, the embedded Markov chain model, which has a wider simulation range for random stratigraphy and smoother simulation effect for stratigraphic boundary than the coupled Markov chain, is used to simulate the variabilities of random stratigraphy with depth less than the borehole bottoms, and the simulation results have higher precision. The point estimation method is used to give the change of the means and standard deviations of V_s with h of the seabed when describing the variation trend of V_s with h by power function and linear function. Based on the measured V_s-profiles at the boreholes, the spatial variabilities of random V_s-structures are simulated by using the non-stationary conditional random field method. It is found that considering the spatial variabilities of the random stratigraphy and ignoring the nonlinear variation of V_s along h can significantly increase the standard deviations of the simulated random V_s- structures. The correlations and transfer probabilities between the unknown stratigraphy below the seabed borehole bottoms and the known stratigraphy at the same depth of near-shore land are established using the membership function and fuzzy Markov chain model, the possible spatial variabilities of random seabed stratigraphy and V_s-structures below the borehole bottoms are obtained. It provides reasonable random stratigraphy and V_s-structures for seismic response analysis of offshore engineering site.
- seabed site,
- S-wave velocity structure,
- spatial variability,
- non-stationary random field,
- nonlinear trend,
- earthquakes,
- engineering geology

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References(35)

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Non-Stationary Random Field Simulation Method of Seabed Site Shear Wave Velocity Structures Considering Stratigraphy Variation and Nonlinear Trend

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