Study on the Mechanism of Landslide Steering Deformation under Complex Moving Path

  • Xie Qiang ,
  • Chen Yucheng ,
  • Tian Renjun ,
  • Fu Xiang ,
  • Ban Yuxin
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  • 1. School of Civil Engineering, Chongqing University, Chongqing 400045, P.R. China;
    2. National Joint Engineering Research Center of Geohazards Prevention in the Reservioir Areas (Chongqing), Chongqing 400045, P.R. China;
    3. College of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, P.R. China;
    4. School of Civil Engineering and Arichitecture,Chongqing University of Science & Technology, Chongqing 401331, P.R. China

Received date: 2023-11-17

  Online published: 2024-05-09

Abstract

The landslide is affected by the topography and sliding surface morphology. In the process of movement, it often shows complex behaviors such as steering, bifurcation and aggregation. It is of great significance to study the mechanism of landslide steering deformation under complex moving paths for prevention and mitigation of landslide disaster. Based on the three-dimensional geological modeling technology, the three-dimensional particle flow model of Pangjiawan landslide is constructed. Through PFC simulation of landslide movement process, following conclusions are conducted: Steering and aggregation occurred in the Pangjiawan landslide, and the sliding direction of the soil in the middle and back of the landslide deflected and the soil aggregates with that from the northeast region at slope toe; The particles with turning movement in the middle of the landslide begin to slide first with fast speed, and the speed decreases radially from the middle of the landslide to the surrounding area. The leading edge of the landslide keeps a high speed during the whole movement, while the trailing edge of the landslide moves slowly. In addition, the surface velocity of the landslide is larger than that of the interior and bottom of the landslide, and the different velocity of each part of the landslide is an important reason for the steering deformation of the landslide. It reveals the movement law and steering deformation mechanism of complex moving landslides, and provides a theoretical basis for evaluating landslide risks and adopting more reasonable prevention schemes.

Cite this article

Xie Qiang , Chen Yucheng , Tian Renjun , Fu Xiang , Ban Yuxin . Study on the Mechanism of Landslide Steering Deformation under Complex Moving Path[J]. Chinese Journal of Underground Space and Engineering, 2024 , 20(2) : 615 -624 . DOI: 10.20174/j.JUSE.2024.02.28

References

[1] 李郎平, 兰恒星. 滑坡运动路径复杂度研究:综述与展望[J]. 地球科学, 2021, 47(12): 4663-4680. (Li Langping, Lan Hengxing. Complexities of landslide moving path: a review and perspective[J]. Earth Science, 2021, 47(12): 4663-4680. (in Chniese))
[2]于航, 张社荣, 王超, 等. 基于GIS的长距离工程地质灾害危险性分析[J]. 地下空间与工程学报, 2021, 17(6): 2015-2020. (Yu Hang, Zhang Sherong, Wang Chao, et al. GIS-based risk analysis of geological disasters in long-distance project[J]. Chinese Journal of Underground Space and Engineering, 2021, 17(6): 2015-2020. (in Chniese))
[3]唐凤娇, 祁生文, 郭松峰, 等. 金沙江溪洛渡库区水库诱发滑坡时空分布规律及易发性研究[J]. 工程地质学报, 2022, 30(3):609-620. (Tang Fengjiao, Qi Shengwen, Guo Songfeng, et al. Spatio-temporal distribution pattern and susceptibility of reservoir-induced landslides in Xiluodu hydropower station[J]. Journal of Engineering Geology, 2022, 30(3):609-620. (in Chniese))
[4]李小琴, 富海鹰, 张迎宾, 等. 地形起伏对滑坡运动的影响规律研究[J]. 防灾减灾工程学报, 2020, 40(6): 867-877. (Li Xiaoqin, Fu Haiying, Zhang Yingbin, et al. Study on the influences of topography on landslide mobility[J]. Journal of Disaster Prevention and Mitigation Engineering, 2020, 40(6): 867-877. (in Chniese))
[5]赵永红, 王航, 张琼, 等. 用数字相关方法研究滑坡变形场[J]. 科学通报, 2016, 61(28): 3163-3171. (Zhao Y onghong, Wang Hang, Zhang Qiong, et al. A study of landslide deformation field with digital correlation method[J]. Chinese Science Bulletin, 2016, 61(28): 3163-3171. (in Chniese))
[6]Bessette-Kirton E K, Coe J A, Schulz W H, et al. Mobility characteristics of debris slides and flows triggered by Hurricane Maria in Puerto Rico[J]. Landslides, 2020, 17(12): 2795-2809.
[7]樊晓一, 冷晓玉, 段晓冬. 坡脚型与偏转型地震滑坡运动距离及地形因素作用[J]. 岩土力学, 2015, 36(5): 1380-1388. (Fan Xiaoyi, Leng Xiaoyu, Duan Xiaodong. Influence of topographical factors on movement distances of toe-type and turning-type landslides triggered by earthquake[J]. Rock and Soil Mechanics, 2015, 36(5): 1380-1388. (in Chniese))
[8]樊晓一, 张睿骁, 胡晓波. 沟谷地形参数对滑坡运动距离的影响研究[J]. 地质力学学报, 2020, 26(1): 106-114. (Fan Xiaoyi, Zhang Ruixiao, Hu Xiaobo. Study on the influence of valley topographic parameter on the moving distance of landslide[J]. Journal of Geomechanics, 2020, 26(1): 106-114. (in Chniese))
[9]殷志强, 徐永强, 赵无忌. 四川都江堰三溪村“7·10”高位山体滑坡研究[J]. 工程地质学报, 2014, 22(2): 309-318. (Yin Zhiqiang, Xu Yongqiang, Zhao Wuji. Sanxi village landsilde in Dujiangyan,Sichuang province on July 10,2013[J]. Journal of Engineering Geology, 2014, 22(2): 309-318. (in Chniese))
[10]杨海龙, 樊晓一, 裴向军. 基于离散元法的偏转型滑坡运动堆积特征分析[J]. 长江科学院院报, 2020, 37(2): 106-111, 118. (Yang Hailong, Fan Xiaoyi, Pei Xiangjun. DEM-based analysis of movement and accumulation characteristics of turning-type landslide[J]. Journal of Yangtze River Scientific Research Institute, 2020, 37(2): 106-111, 118. (in Chniese))
[11]杨海龙, 樊晓一, 裴向军, 等. 地形因子对偏转型滑坡-碎屑流运动参数的影响[J]. 水文地质工程地质, 2019, 46(3): 129-137. (Yang Hailong, Fan Xiaoyi, Pei Xiangjun, et al. Influence of terrain factors on the motion parameters of the turning-type landslide-debris flow[J]. Hydrogeology & Engineering Geology, 2019, 46(3): 129-137. (in Chniese))
[12]杨海龙. 沟谷偏转型滑坡—碎屑流运动机理研究[D]. 绵阳: 西南科技大学, 2018. (Yang Hailong. Movement mechanism of turning-type landslidedebris flow in valley topography [D]. Mianyang: Southwest University of Science and Technology, 2018. (in Chniese))
[13]刘春, 张晓宇, 许强, 等. 三维离散元模型的滑坡能量守恒模拟研究[J]. 地下空间与工程学报, 2017, 13(增2): 698-704. (Liu Chun, Zhang Xiaoyu, Xu Qiang, et al. Research on energy conservation simulation of three dimensional discrete element model[J]. Chinese Journal of Underground Space and Engineering, 2017, 13(Supp.2): 698-704. (in Chniese)).
[14]Gianvito S, Xuanmei F, Qiang X,et al. Some considerations on the use of numerical methods to simulate past landslides and possible new failures: the case of the recent Xinmo landslide (Sichuan, China)[J]. Landslides, 2018, 15(7): 1359-1375.
[15]Wang H, Liu S, Xu W,et al. Numerical investigation on the sliding process and deposit feature of an earthquake-induced landslide: a case study[J]. Landslides, 2020, 17(11): 2671-2682.
[16]Hu X, Zhang L, Hu K, et al. Modelling the evolution of propagation and runout from a gravel-silty clay landslide to a debris flow in Shaziba, southwestern Hubei Province, China[J]. Landslides, 2022, 19(9): 2199-2212.
[17]Lo C M, Lin M L, Tang C L,et al. A kinematic model of the Hsiaolin landslide calibrated to the morphology of the landslide deposit[J]. Engineering Geology, 2011, 123(1-2): 22-39.
[18]Lu C Y, Tang C L, Chan Y C, et al. Forecasting landslide hazard by the 3D discrete element method: A case study of the unstable slope in the Lushan hot spring district, central Taiwan[J]. Engineering Geology, 2014, 183: 14-30.
[19]Wei J, Zhao Z, Xu C,et al. Numerical investigation of landslide kinetics for the recent Mabian landslide (Sichuan, China)[J]. Landslides, 2019, 16(11): 2287-2298.
[20]Peng W, Song S, Yu C, et al. Forecasting landslides via three-dimensional discrete element modeling: helong landslide case study[J]. Applied Sciences, 2019, 9(23): 9235242.
[21]孟桓羽, 占洁伟, 卢全中, 等. 陕西山阳“8.12”大型山体滑坡运动特征及数值模拟分析[J]. 工程地质学报, 2021, 31(6): 1910-1928. (Meng Huanyu, Zhan Jiewei, Lu Quanzhong, et al. Kinematics characteristics and numerical simulation analysis of “8.12” giant landslide in Shanyang county, Shanxi province[J]. Journal of Engineering Geology, 2021: 31(6): 1910-1928. (in Chniese))
[22]施凤根. 基于PFC3D的文家沟滑坡高速远程运动学特征研究[D]. 北京: 中国地质大学(北京), 2014. (Shi Fenggen. The study of rapid and long-runout characteristics of Wenjiagou landslide based on PFC3D [D]. Beijing: China University of Geosciences(Beijing), 2014. (in Chniese))
[23]李冬冬. 文家沟滑坡碎屑流动力特性分析[D]. 郑州: 华北水利水电大学, 2016. (Li Dongdong. Dynamic characteristics analysis of the Wenjiagou rock avalanche [D]. Zhengzhou: North China University of Water Resources and Electric Power, 2016. (in Chniese))
[24]O'sullivan C. Particulate discrete element modelling[M]. London: Taylor and Francis Group, 2014.
[25]Frédéric D C, Sacha E, Michaël P, et al. Rheophysics of dense granular materials: discrete simulation of plane shear flows[J]. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics, 2005, 72(2): 021309.
[26]Shi C, Li W Y, Meng Q X. A dynamic strain-rate-dependent contact model and its application in Hongshiyan landslide[J]. Geofluids, 2021(1-2): 1-23.
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