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2023 Vol. 34, No. 6
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WANG Chongjing, ZHANG Long, LIU Guowei. Integrated assessment of soil cutting slope stability using fuzzy mathematics and numerical simulation[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(6): 69-76. doi: 10.16031/j.cnki.issn.1003-8035.202209026
Citation: WANG Chongjing, ZHANG Long, LIU Guowei. Integrated assessment of soil cutting slope stability using fuzzy mathematics and numerical simulation[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(6): 69-76. doi: 10.16031/j.cnki.issn.1003-8035.202209026
shu

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

  • 1.

    Department of Earth Science and Engineering, Shanxi Institute of Technology, Yangquan , Shanxi　045000, China

  • 2.

    College of Mining, Liaoning Technical University, Fuxin , Liaoning　123000，China

  • 3.

    China Construction Sixth Engineering Division Co., Ltd., Tianjin　300450, China

  • 4.

    China Institute of Geo-Environment Monitoring, Beijing　100081, China

Received Date:  19 September 2022
Revised Date:  13 February 2023
Publish Date:  25 December 2023
    Abstract

  • 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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