Integrated assessment of soil cutting slope stability using fuzzy mathematics and numerical simulation

The complexity and uncertainty of the factors affecting the stability of artificial slope in loess regions pose challenges for achieving objective and accurate assessments through a single method. To investigate the stability of the artificial soil slope at Yingli Village Quarry in Gujiao City, a fu...

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Main Authors: Chongjing WANG, Long ZHANG, Guowei LIU
Format: Article
Language:zho
Published: Editorial Office of The Chinese Journal of Geological Hazard and Control 2023-12-01
Series:Zhongguo dizhi zaihai yu fangzhi xuebao
Subjects:
Online Access:https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202209026
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author Chongjing WANG
Long ZHANG
Guowei LIU
author_facet Chongjing WANG
Long ZHANG
Guowei LIU
author_sort Chongjing WANG
collection DOAJ
description The complexity and uncertainty of the factors affecting the stability of artificial slope in loess regions pose challenges for achieving objective and accurate assessments through a single method. To investigate the stability of the artificial soil slope at Yingli Village Quarry in Gujiao City, a fuzzy comprehensive evaluation model was constructed based on the engineering geological conditions of the slope using fuzzy mathematics. Subsequently, its stability was evaluated by integrating an interrelationship matrix. Furthermore, the stability change law of the soil slope under rainfall conditions was simulated and analysed by FLAC3D software. The results show that the fuzzy mathematical theory evaluates that the artificial soil slope of Yingli Village Quarry is in a stable state under natural conditions, with Fs =1.429>1.15. The simulation results of FLAC3D show that the stability coefficient of the slope in the natural state is Fs=1.426. Increasing daily rainfall briefly evaluates the stability of shallow soil layers, followed by a decline. When rainfall reaches 150 mm/d, the slope's stability coefficient approaches 1, indicating it has reached the limit of stability. This condition may trigger landslide disaster. The combined utilization of both methods enhances the accuracy of the assessment, aligning the results more closely with the actual slope conditions.
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spelling doaj.art-309357e4acaf4024889d5141252853472024-02-19T07:14:15ZzhoEditorial Office of The Chinese Journal of Geological Hazard and ControlZhongguo dizhi zaihai yu fangzhi xuebao1003-80352023-12-01346697610.16031/j.cnki.issn.1003-8035.202209026202209026Integrated assessment of soil cutting slope stability using fuzzy mathematics and numerical simulationChongjing WANG0Long ZHANG1Guowei LIU2Department of Earth Science and Engineering, Shanxi Institute of Technology, Yangquan , Shanxi 045000, ChinaChina Construction Sixth Engineering Division Co., Ltd., Tianjin 300450, ChinaChina Institute of Geo-Environment Monitoring, Beijing 100081, ChinaThe complexity and uncertainty of the factors affecting the stability of artificial slope in loess regions pose challenges for achieving objective and accurate assessments through a single method. To investigate the stability of the artificial soil slope at Yingli Village Quarry in Gujiao City, a fuzzy comprehensive evaluation model was constructed based on the engineering geological conditions of the slope using fuzzy mathematics. Subsequently, its stability was evaluated by integrating an interrelationship matrix. Furthermore, the stability change law of the soil slope under rainfall conditions was simulated and analysed by FLAC3D software. The results show that the fuzzy mathematical theory evaluates that the artificial soil slope of Yingli Village Quarry is in a stable state under natural conditions, with Fs =1.429>1.15. The simulation results of FLAC3D show that the stability coefficient of the slope in the natural state is Fs=1.426. Increasing daily rainfall briefly evaluates the stability of shallow soil layers, followed by a decline. When rainfall reaches 150 mm/d, the slope's stability coefficient approaches 1, indicating it has reached the limit of stability. This condition may trigger landslide disaster. The combined utilization of both methods enhances the accuracy of the assessment, aligning the results more closely with the actual slope conditions.https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202209026soil slopeflac3d simulationextreme rainfallstability
spellingShingle Chongjing WANG
Long ZHANG
Guowei LIU
Integrated assessment of soil cutting slope stability using fuzzy mathematics and numerical simulation
Zhongguo dizhi zaihai yu fangzhi xuebao
soil slope
flac3d simulation
extreme rainfall
stability
title Integrated assessment of soil cutting slope stability using fuzzy mathematics and numerical simulation
title_full Integrated assessment of soil cutting slope stability using fuzzy mathematics and numerical simulation
title_fullStr Integrated assessment of soil cutting slope stability using fuzzy mathematics and numerical simulation
title_full_unstemmed Integrated assessment of soil cutting slope stability using fuzzy mathematics and numerical simulation
title_short Integrated assessment of soil cutting slope stability using fuzzy mathematics and numerical simulation
title_sort integrated assessment of soil cutting slope stability using fuzzy mathematics and numerical simulation
topic soil slope
flac3d simulation
extreme rainfall
stability
url https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202209026
work_keys_str_mv AT chongjingwang integratedassessmentofsoilcuttingslopestabilityusingfuzzymathematicsandnumericalsimulation
AT longzhang integratedassessmentofsoilcuttingslopestabilityusingfuzzymathematicsandnumericalsimulation
AT guoweiliu integratedassessmentofsoilcuttingslopestabilityusingfuzzymathematicsandnumericalsimulation