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    基于NSGA⁃II遗传算法的黄土滑坡参数反分析与稳定性预测

    曾鹏 王宇豪 张天龙 张琳 南骁聪

    曾鹏, 王宇豪, 张天龙, 张琳, 南骁聪, 2023. 基于NSGA⁃II遗传算法的黄土滑坡参数反分析与稳定性预测. 地球科学, 48(5): 1675-1685. doi: 10.3799/dqkx.2023.034
    引用本文: 曾鹏, 王宇豪, 张天龙, 张琳, 南骁聪, 2023. 基于NSGA⁃II遗传算法的黄土滑坡参数反分析与稳定性预测. 地球科学, 48(5): 1675-1685. doi: 10.3799/dqkx.2023.034
    Zeng Peng, Wang Yuhao, Zhang Tianlong, Zhang Lin, Nan Xiaocong, 2023. Parameter Back Analysis and Stability Prediction of Loess Landslide Based on NSGA-II Genetic Algorithm. Earth Science, 48(5): 1675-1685. doi: 10.3799/dqkx.2023.034
    Citation: Zeng Peng, Wang Yuhao, Zhang Tianlong, Zhang Lin, Nan Xiaocong, 2023. Parameter Back Analysis and Stability Prediction of Loess Landslide Based on NSGA-II Genetic Algorithm. Earth Science, 48(5): 1675-1685. doi: 10.3799/dqkx.2023.034

    基于NSGA⁃II遗传算法的黄土滑坡参数反分析与稳定性预测

    doi: 10.3799/dqkx.2023.034
    基金项目: 

    国家自然科学基金项目 41977224

    详细信息
      作者简介:

      曾鹏(1987-),男,博士,研究员,主要从事地质灾害风险评价研究工作. E-mail:zengpeng15@cdut.edu.cn

      通讯作者:

      曾鹏, E-mail: zengpeng15@cdut.edu.cn

    • 中图分类号: P694

    Parameter Back Analysis and Stability Prediction of Loess Landslide Based on NSGA-II Genetic Algorithm

    • 摘要: 甘肃省永靖县黑方台台塬周边区域由于黄河移民大规模农业灌溉诱发了众多黄土滑坡灾害,其稳定性分析与滑面预测可为防灾减灾提供重要支撑,显得尤为重要.黑方台黄土滑坡具有渐进后退式的失稳特征,已发生滑坡灾害与潜在滑坡灾害具有高度相似性,其反分析结果可为未来滑坡稳定性分析提供重要数据基础.选用有限差分强度折减法,通过设定3个目标优化函数(土体抗剪强度参数均值误差函数、滑面位置误差函数和稳定性系数误差函数),基于NSGA-II遗传算法开展稳定性反分析获取黄土的粘聚力和内摩擦角.以黑方台党川2#滑坡为例,通过第一次滑动时观测到的滑面信息,并假设其稳定性系数等于1,利用NGSA-II算法反分析得出当滑坡发生时,天然黄土层粘聚力为28.20 kPa,内摩擦角为25.16°,饱和黄土层有效粘聚力为16.59 kPa,有效内摩擦角为16.11°.基于该反分析结果,对党川2#滑坡后续3次失稳的稳定性系数和临界滑面进行了预测,并与实际观察结果对比验证.研究结果表明,通过多目标约束优化算法开展滑坡稳定性反分析可获得更加合理的黄土强度参数估计,为黑方台地区滑坡稳定性分析和风险定量评估提供了新的解决思路.

       

    • 图  1  实际观察滑面及相应特征坐标点

      Fig.  1.  Observed slip surface and the points

      图  2  Pareto解集的等级划分

      Fig.  2.  Classification of Pareto solution sets

      图  3  黄土滑坡参数反分析算法流程

      Fig.  3.  Flow chart of loess landslide parameter back analysis

      图  4  黑方台地区高程图及党川2#滑坡地理位置

      Fig.  4.  Elevation map of Heifangtai area and location of Dangchuan 2# landslide

      图  5  党川2#滑坡纵剖面

      Fig.  5.  Longitudinal profile of Dangchuan 2# landslide

      图  6  党川2#滑坡及其主要影响范围

      Fig.  6.  Dangchuan 2# landslide and its deposition area

      图  7  党川2#滑坡多次失稳平面分区

      Fig.  7.  Plane view of multiple failures of Dangchuan 2# landslide

      图  8  渗流水位线和流量矢量

      Fig.  8.  Seepage water level line and flow vector

      图  9  党川2#滑坡渗流模拟后的FLAC模型

      Fig.  9.  FLAC model of Dangchuan 2# landslide after seepage simulation

      图  10  NSGA-II遗传算法计算结果

      Fig.  10.  Results of NSGA-II genetic algorithm

      图  11  Pareto多目标优化结果

      Fig.  11.  Results of Pareto multi-objective optimization

      图  12  模拟临界滑面与真实滑面对比

      Fig.  12.  Simulated and observed critical slip surfaces

      图  13  观测与推测滑面示意

      Fig.  13.  Observation and inferred slip surfaces

      图  14  第二次失稳预测临界滑面与稳定性系数

      Fig.  14.  Predicted critical slip surface and factor of safety for the second failure

      表  1  各土层的渗流系数

      Table  1.   Seepage parameters of soil layers

      土层 黄土层 粉质粘土层
      渗流系数(m/s) 6.8×10‒6 2×10‒8
      密度(g/cm3) 1.54 2.06
      下载: 导出CSV

      表  2  黄土抗剪强度参数统计信息

      Table  2.   Statistical information of loess

      强度参数 均值 标准差
      天然黄土粘聚力(kPa) 26.11 5.65
      天然黄土内摩擦角(°) 23.58 4.65
      饱和黄土有效粘聚力(kPa) 18.64 8.85
      饱和黄土有效内摩擦角(°) 17.37 6.02
      下载: 导出CSV
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    出版历程
    • 收稿日期:  2022-10-10
    • 网络出版日期:  2023-06-06
    • 刊出日期:  2023-05-25

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