基于分层贝叶斯学习的滨海软土地层高效识别方法

曹子君; 胡超; 苗聪; 王轩毫; 郑硕

doi:10.3799/dqkx.2022.503

Volume 48 Issue 5

May 2023

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Article Navigation > Earth Science > 2023 > 48(5): 1730-1741

Cao Zijun, Hu Chao, Miao Cong, Wang Xuanhao, Zheng Shuo, 2023. Efficient Identification Method of Coastal Soft Soil Stratum Based on Hierarchical Bayesian Learning. Earth Science, 48(5): 1730-1741. doi: 10.3799/dqkx.2022.503

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Cao Zijun, Hu Chao, Miao Cong, Wang Xuanhao, Zheng Shuo, 2023. Efficient Identification Method of Coastal Soft Soil Stratum Based on Hierarchical Bayesian Learning. Earth Science, 48(5): 1730-1741. doi: 10.3799/dqkx.2022.503

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Efficient Identification Method of Coastal Soft Soil Stratum Based on Hierarchical Bayesian Learning

doi: 10.3799/dqkx.2022.503

1.
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China
2.
Power China Huadong Engineering Co. Ltd., Hangzhou 311122, China

Received Date: 2022-10-30
Available Online: 2023-06-06
Publish Date: 2023-05-25

Abstract

Abstract

Underground stratification based on the cone penetration test (CPT) data relies on empirical charts and subjective judgments. Uncertainties in soil profile identified from CPT data are unavoidable. In this paper it proposes a fast underground stratigraphy identification method based on soil classification index I_c, which also quantifies the identification uncertainty. Under the hierarchical Bayesian learning framework, the proposed method uses full Gaussian random field model to characterize the spatial variability of soils, and efficiently calculates the likelihood function of soil layer thicknesses given a soil layer number by introducing the Normal-Inverse Wishart conjugate distribution. By this means, the model evidence can be solved efficiently, and the most possible profile is identified. The proposed method automatically identifies the most probable soil layer profile considering the statistical characteristics of I_c, and improves the reliability of the identification results.
- cone penetration test,
- hierarchical Bayesian learning,
- underground stratification,
- uncertainty,
- geotechnical engineering

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References(44)

References

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Efficient Identification Method of Coastal Soft Soil Stratum Based on Hierarchical Bayesian Learning

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