Volume 44 Issue 4
Aug.  2022
Turn off MathJax
Article Contents
Jia W L,Chang C Y,Li P R,Zhang Z W,Xu J H,Yang J Y. 2022. Numerical simulation of earthquake-induced loess landslides based on particle flow method. Acta Seismologica Sinica,44(4):677−687 doi: 10.11939/jass.20210035
Citation: Jia W L,Chang C Y,Li P R,Zhang Z W,Xu J H,Yang J Y. 2022. Numerical simulation of earthquake-induced loess landslides based on particle flow method. Acta Seismologica Sinica44(4):677−687 doi: 10.11939/jass.20210035

Numerical simulation of earthquake-induced loess landslides based on particle flow method

doi: 10.11939/jass.20210035
  • Received Date: 2021-03-05
  • Rev Recd Date: 2021-06-30
  • Available Online: 2022-06-29
  • Publish Date: 2022-08-16
  • Research on the dynamic stability and sliding process of soil slopes based on particle flow theory is a new hot spot in landslide research in recent years. On the basis of field investigation and indoor experiment, the PFC2D program was used to simulate the instability failure movement process of the Xiamadazi landslide in Baowan village, Xingping township, Xiji county through the process of calibrating soil parameters, model establishment, power input, dynamic monitoring, etc., and the failure movement mechanism of the landslide is obtained. The following conclusions are obtained: ① The instability mechanism of the Xiamadazi landslide is that under the action of the earthquake, the leading edge of the slope is pulled and the trailing edge is pushed, causing the shoulder to be pulled and damaged. The larger velocity and displacement at the shoulder position after the instability is the main reason for the strong destructive force and the large disaster range of the earthquake landslide; ② The back wall of the earthquake-induced loess landslides is relatively flat, which is one of the important characteristics different from gravity landslides; ③ The relative altitude difference and length before and after the landslide obtained by particle flow simulation is more consistent with the actual situation. Therefore, the particle flow method can be used to predict the slip distance of earthquake landslides.


  • loading
  • [1]
    Bo J S,Duan Y S,Chang C Y,Li X B,Peng D,Yan D H. 2019. Some problems of study on slope stability under earthquake[J]. Journal of Natural Disasters,28(1):1–8 (in Chinese).
    Cao W,Li W C,Tang B,Deng G,Li J F. 2017. PFC study on building of 2D and 3D landslide models[J]. Journal of Engineering Geology,25(2):455–462 (in Chinese).
    Chang C Y,Yang S,Jiao C P,Peng D. 2019. Sliding distance statistics and prediction of the loess landslide triggered by the 1920 Haiyuan earthquake[J]. Journal of Institute of Disaster Prevention,21(2):36–43 (in Chinese).
    Chang C Y,Bo J S,Li X B,Qiao F,Yan D H. 2020. A BP neural network model for forecasting sliding distance of seismic loess landslides[J]. China Earthquake Engineering Journal,42(6):1609–1614 (in Chinese).
    Chen D,Xue X C,Wei J B. 2018. Simulation of failure process of Liujian landslide based on PFC2D[J]. Coal Geology and Exploration,46(4):115–121 (in Chinese).
    He X W,Liu Z,Liao B,Wang C C. 2011. Stability analysis of jointed rock slopes based on discrete element method[J]. Rock and Soil Mechanics,32(7):2199–2204 (in Chinese).
    Li X P,He S M. 2010. Numerical analysis of the failure of heavily jointed rock slopes using PFC2D[J]. Journal of Sichuan University (Engineering Science Edition),42(S1):70–75 (in Chinese).
    Liu H S,Bo J S,Liu D D. 2007. Development on study of seismic stability evaluation methods of rock-soil slopes[J]. Journal of Institute of Disaster-Prevention Science and Technology,9(3):20–27 (in Chinese).
    Shi C,Zhang Q,Wang S N. 2018. Numerical simulation technology and application of particle flow (PFC5.0)[J]. Rock and Soil Mechanics,39(S2):36 (in Chinese).
    Wang G Q,Ni J R. 1992. A review of research on particle flow[J]. Mechanics and Practice,14(1):7–19 (in Chinese).
    Xu C,Tian Y Y,Ma S Y,Xu X W,Zhou B G,Wu X Y,Zhuang J Q,Gao Y X,Wu W Y,Huang X Q. 2018. Inventory and spatial distribution of landslides in Ⅸ-Ⅺ high intensity areas of 1920 Haiyuan (China) M8.5 earthquake[J]. Journal of Engineering Geology,26(5):1188–1195 (in Chinese).
    Xu Z J,Lin Z G,Zhang M S. 2007. Loess in China and Loess landslides[J]. Chinese Journal of Rock Mechanics and Engineering,26(7):1297–1312 (in Chinese).
    Zhang J W. 2016. Seismic dynamic response characteristics and stability evaluation of soil slopes[J]. Recent Developments in International Seismology,(1):44–45 (in Chinese).
    Zhou J,Chi Y. 2003. Mesomechanical simulation of sand mechanical properties[J]. Rock and Soil Mechanics,24(6):901–906 (in Chinese).
    Zhou J,Chi Y,Chi Y W,Xu J P. 2000. The method of particle flow and PFC2D Code[J]. Rock and Soil Mechanics,21(3):271–274 (in Chinese).
    Zhou Y,Han G,Wu S C,Hu N L. 2016. Meso mechanical failure mechanism of rock mass and slope with intermittent joints[J]. Chinese Journal of Rock Mechanics and Engineering,35(S2):3878–3889 (in Chinese).
    Behbahani S S,Moarefvand P,Ahangari K,Goshtasbi K. 2013. Pomiary przemieszczeń i sił kontaktu pomiędzy cząstkami materialnymi w trakcie wybierania wyrobiska pochyłego przy pomocy programu PFC2D[J]. Arch Min Sci,58(2):495–504.
    Cundall P A,Strack O D L. 1979. A discrete numerical model for granular assemblies[J]. Geotechnique,29(1):47–65.
    Hadjigeorgiou J,Esmaieli K,Grenon M. 2009. Stability analysis of vertical excavations in hard rock by integrating a fracture system into a PFC model[J]. Tunn Undergr Space Technol,24(3):296–308. doi: 10.1016/j.tust.2008.10.002
    Härtl J,Ooi J Y. 2008. Experiments and simulations of direct shear tests:Porosity,contact friction and bulk friction[J]. Granular Matter,10(4):263–271. doi: 10.1007/s10035-008-0085-3
    Park J W,Song J J. 2009. Numerical simulation of a direct shear test on a rock joint using a bonded-particle model[J]. Int J Rock Mech Min Sci,46(8):1315–1328. doi: 10.1016/j.ijrmms.2009.03.007
    Scholtès L,Donzé F V. 2012. Modelling progressive failure in fractured rock masses using a 3D discrete element method[J]. Int J Rock Mech Min Sci,52:18–30. doi: 10.1016/j.ijrmms.2012.02.009
    Tang C L,Hu J C,Lin M L,Angelier J,Lu C Y,Chan Y C,Chu H T. 2009. The Tsaoling landslide triggered by the Chi-Chi earthquake,Taiwan:Insights from a discrete element simulation[J]. Eng Geol,106(1/2):1–19.
    Wang C,Tannant D D,Lilly P A. 2003. Numerical analysis of the stability of heavily jointed rock slopes using PFC2D[J]. Int J Rock Mech Min Sci,40(3):415–424. doi: 10.1016/S1365-1609(03)00004-2
    Zhou J X,Zhu C Y,Zheng J M,Wang X H,Liu Z H. 2002. Landslide disaster in the loess area of China[J]. J Forestry Res,13(2):157–161. doi: 10.1007/BF02857244
    Zhou X P,Qian Q H,Cheng H,Zhang H P. 2015. Stability analysis of two-dimensional landslides subjected to seismic loads[J]. Acta Mech Solida Sin,28(3):262–276. doi: 10.1016/S0894-9166(15)30013-6
  • 加载中


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(13)  / Tables(2)

    Article Metrics

    Article views (70) PDF downloads(19) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint