考虑参数旋转各向异性空间变异性的边坡大变形概率分析

刘磊磊; 梁昌奇; 徐蒙; 朱文卿; 张绍和; 丁星妤

doi:10.3799/dqkx.2022.372

Volume 48 Issue 5

May 2023

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Article Navigation > Earth Science > 2023 > 48(5): 1836-1852

Liu Leilei, Liang Changqi, Xu Meng, Zhu Wenqing, Zhang Shaohe, Ding Xingyu, 2023. Probabilistic Analysis of Large Slope Deformation Considering Soil Spatial Variability with Rotated Anisotropy. Earth Science, 48(5): 1836-1852. doi: 10.3799/dqkx.2022.372

Citation:

Liu Leilei, Liang Changqi, Xu Meng, Zhu Wenqing, Zhang Shaohe, Ding Xingyu, 2023. Probabilistic Analysis of Large Slope Deformation Considering Soil Spatial Variability with Rotated Anisotropy. Earth Science, 48(5): 1836-1852. doi: 10.3799/dqkx.2022.372

Citation:

Liu Leilei, Liang Changqi, Xu Meng, Zhu Wenqing, Zhang Shaohe, Ding Xingyu, 2023. Probabilistic Analysis of Large Slope Deformation Considering Soil Spatial Variability with Rotated Anisotropy. Earth Science, 48(5): 1836-1852. doi: 10.3799/dqkx.2022.372

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Probabilistic Analysis of Large Slope Deformation Considering Soil Spatial Variability with Rotated Anisotropy

doi: 10.3799/dqkx.2022.372

Liu Leilei^{1, 2, 3
,
,},
Liang Changqi^{1, 2, 3},
Xu Meng^{1, 2, 3
,
,},
Zhu Wenqing^{1, 2, 3},
Zhang Shaohe^{1, 2, 3},
Ding Xingyu⁴

1.
Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Central South University, Changsha 410083, China
2.
Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration, Changsha 410083, China
3.
School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
4.
School of Civil Engineering, Hunan City University, Yiyang 413000, China

Received Date: 2022-09-08
Available Online: 2023-06-06
Publish Date: 2023-05-25

Abstract

Abstract

To explore the influence of spatial variability of soil parameters with rotated anisotropy on probabilistic large slope deformation characteristics, a multiple response surface-based random material point method is proposed in this study. First, random field theory is employed to simulate the spatial variability of soil parameters with rotated anisotropy. Then, the multiple response surface method is used to evaluate the factor of safety (FS) of each random field sample, based on which the FSs for all random field samples are sorted efficiently in an ascending order. Finally, the random material point method is used to sequentially simulate the large deformation features of a slope for the failed samples with the FS at less than 1. An undrained clay slope is taken as the illustrative example, where the undrained shear strength of the soil is simulated as a rotated anisotropic random field. The effect of the rotational angle β and the autocorrelation length θ₂ in the minor principal direction of the rotated anisotropic random field on the large deformation features and failure modes of the slope are systematically studied. The results show that the proposed method can be efficiently conducted for probabilistic analysis of large slope deformation. Both β and θ₂ have significant effects on large slope deformation features and failure modes. In terms of large deformation features, the mean and standard deviation of the influence distance, sliding distance, and sliding volume increase with the increase of θ₂. There might be four failure modes when considering the rotated anisotropic spatial variability of the undrained strength of the slope, among which the deep sliding mechanism and progressive failure are the two main probabilistic failure modes. Therefore, the proposed method provides an effective way for the probabilistic large slope deformation analysis as well as a good theoretical reference for an accurate risk assessment of slope stability.
- large slope deformation,
- material point method,
- random field,
- rotated anisotropy,
- spatial variability,
- multiple response surface,
- engineering geology

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References(52)

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Probabilistic Analysis of Large Slope Deformation Considering Soil Spatial Variability with Rotated Anisotropy

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