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模糊数学评判和数值模拟相结合的土质边坡稳定性综合评价

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文章导航 > 中国地质灾害与防治学报 > 2023 > 34(6): 69-76

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王崇敬, 张龙, 刘国伟. 模糊数学评判和数值模拟相结合的土质边坡稳定性综合评价[J]. 中国地质灾害与防治学报, 2023, 34(6): 69-76. doi: 10.16031/j.cnki.issn.1003-8035.202209026
引用本文: 王崇敬, 张龙, 刘国伟. 模糊数学评判和数值模拟相结合的土质边坡稳定性综合评价[J]. 中国地质灾害与防治学报, 2023, 34(6): 69-76. doi: 10.16031/j.cnki.issn.1003-8035.202209026
shu
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
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模糊数学评判和数值模拟相结合的土质边坡稳定性综合评价

  • 1.

    山西工程技术学院地球科学与工程系，山西 阳泉　045000

  • 2.

    辽宁工程技术大学矿业学院，辽宁 阜新　123000

  • 3.

    中国建筑第六工程局有限公司，天津　300450

  • 4.

    中国地质环境监测院，北京　100081

  • 基金项目: 辽宁省教育厅高等学校基本科研项目（面上项目）（LJKZ0369）；辽宁工程技术大学生产基金项目（20160083T）
详细信息
    作者简介: 王崇敬（1987-），男，讲师，硕士研究生导师，主要从事煤地质与地质灾害防治研究。E-mail：wangchongjing1987@163.com

  • 中图分类号: P642.22

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

    摘要

  • 影响黄土区人工边坡稳定性的因素具有复杂性与不确定性，难以通过单一方法作出客观准确的评价。为了研究山西太原古交市营立村采石场人工土质边坡稳定性，基于坡体工程地质条件采用模糊数学构建了模糊综合评价模型，进而结合相互关系矩阵评价其稳定性，最后通过FLAC3D 软件模拟分析了降雨条件下该土质边坡稳定性变化规律。结果表明：模糊数学理论评价营立村采石场人工土质边坡天然条件下稳定性系数为1.429（>1.15），处于稳定状态；FLAC3D 模拟显示天然状态下边坡稳定系数为1.426，日降雨量增加引起了浅层土体稳定性短暂上升后下降，降雨量150 mm/d时边坡稳定系数趋近于1，已处于极限稳定状态，可能诱发滑坡地质灾害。联合运用两种方法相互佐证能够提高评价准确性，使结果更符合边坡实际情况。

    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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  • 图 1  拟建场地地质条件

    Figure 1. 

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    图 2  边坡有限元模型及监测点布置图

    Figure 2. 

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    图 3  天然状态下边坡位移和剪应力空间分布图

    Figure 3. 

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    图 4  日降雨量与稳定系数拟合图

    Figure 4. 

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    图 5  极限平衡状态边坡特征

    Figure 5. 

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    表 1  稳定性影响因素与量化取值表

    Table 1.  Stability influencing factors and quantified values

    评价指标 滑坡稳定性级别及其分级标准
    因素 因子 稳定（1） 基本稳定（2） 欠稳定（3） 不稳定（4）
    降雨U1 降雨量/
    （mm·d−1）    		 25～<50 50～<100 100～250 >250
    人类活动U2 工程活动 弱 一般 较强 强
    地貌特征U3 坡面形态 平直形 凸状 凹状 阶状
    坡度（θ）/（°） 0～<10 10～<30 30～<50 50～90
    坡高（h）/m 0～<25 25～<35 35～<45 45～55
    地层岩性U4 岩土性质 坚石 软石 硬土 普通土
    风化作用U5 风化程度 微风化 中风化 强风化 全风化
    下载: 导出CSV

    表 2  营立村水泥厂切坡稳定性影响因素赋值表

    Table 2.  Impact factors of artificial slope cutting stability in Yingli Village quarry

    P A A+B A-B Hi/% Aa Bb
    P1 3 2 1 1 11 23 −1 26 16.26 −0.707
    3 P2 2 2 1 10 19 1 22 13.44 0.707
    2 1 P3 1 1 7 15 −1 17 10.06 −0.707
    2 2 1 P4 3 10 17 3 19 12.02 2.120
    1 1 1 1 P5 6 14 −2 16 9.90 −1.410
    B 12 9 8 7 8 88
    　　
    下载: 导出CSV

    表 3  边坡岩土体物理参数指标

    Table 3.  Physical parameter indicators of slope rock and soil

    类型 容重
    /（kg·m−3）    		 泊松比
    		 黏聚力
    /MPa    		 内摩擦角
    /（°）    		 抗剪强度
    /MPa
    饱和粉土 1960 0.3 0.02 18 0.35
    粉土 1820 0.25 0.04 25 0.51
    砂岩 2550 0.25 8.2 35 8.91
    石灰岩 2800 0.18 11.4 38 12.18
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收稿日期:  2022-09-19
修回日期:  2023-02-13
刊出日期:  2023-12-25

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