Stability Analysis of Strongly Weathered Muddy Slate Slopes Considering Softening Conditions of Water Immersion
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Published:2023-10-11
Issue:20
Volume:15
Page:14740
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ISSN:2071-1050
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Container-title:Sustainability
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language:en
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Short-container-title:Sustainability
Author:
Shi Yungang1, Wang Jingyu2, Tan Xin3ORCID, Zhou Suhua3ORCID, Jin Yuxuan1, Yin Xin3
Affiliation:
1. Hunan Communications Research Institute Co., Ltd., Changsha 410015, China 2. CCCC Construction Group Co., Ltd., Beijing 100022, China 3. College of Civil Engineering, Hunan University, Changsha 410082, China
Abstract
To understand the stability of strongly weathered muddy slate slopes under water immersion effects, we obtained shear strength parameters of the weakly layered structures within this slate through direct shear tests. Point load tests were performed on in-site slate samples with varying water immersion durations to assess the water immersion’s softening impact on slate strength. Results highlight that muddy slate strength presents pronounced random variability, declining as water immersion duration increases. Drawing from shear strength parameters and the water immersion softening observed in laboratory and in-site tests, we formulated a numerical slope model that considers layered structures and water immersion conditions to evaluate slope stability. Numerical simulations suggest that the slate slope’s sliding surface, when layered, does not consistently form a basic circular arc or straight line. The slope safety factor (FOS) drops below 3, marking a notable decrease compared to a homogeneous slope (FOS = 3.22). In the model, multiple secondary sliding surfaces can emerge, leading to a sliding band with a specific thickness after introducing the random distribution of layer strength parameters. This further reduces the slope’s FOS to below 2.9. Water immersion makes slopes inclined to slide following the layered structure. If the dip angle of the slate’s layered structure is less steep than the slope’s dip angle, water immersion notably diminishes the FOS, which can dip to a minimum of 1.12.
Funder
National Natural Science Foundation of China Transportation Science and Technology Development and Inovation Project of Hunan Province Science and Technology Infrastructure Program of Guizhou Province
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
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