Abstract
The coupled Eulerian-Lagrangian (CEL) method is a latest technology for simulating the large deformation and discrete geotechnical problem. In this paper, we use this new method to simulate the long-runout landslide which occurred at the Hong’ao landfill on December 20th, 2015, in Shenzhen, China. This landslide killed 77 people and destroyed 33 houses, regarded as one of the largest landfill landslide in the world. The field survey and previous research results after the accident are applied to validate the numerical model of the landslide. The long-runout behavior of the landslide is studied in terms of runout area, velocity, kinematic energy. The runout area of the simulation landslide is close to that of the actual. The maximum simulated velocity of the landslide is up to 35.41 m/s at 68 s which is close to the result simulated by the LS-RAPID. The maximum kinetic energy of the landslide is 2230.4 GJ at 68 s, and the frontier buildings might be impacted at 78.3 s, when the total energy of the landslide can be 2097.4 GJ, roughly equivalent to the explosive energy of 5 t TNT.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Barbero, M., Barpi, F.: Geomechanical modeling to study the effects of slope instability on buildings: a case study in northern Italy. Icarus 126(2), 373–394 (2012)
Blasio, F.: Production of frictional heat and hot vapour in a model of self-lubricating landslides. Rock Mech. Rock Eng. 41(1), 219–226 (2008)
Bui, H.H., Fukagawa, R., Sako, K., et al.: Slope stability analysis and discontinuous slope failure simulation by elasto-plastic smoothed particle hydrodynamics (SPH). Géotechnique 61(7), 565–574 (2011)
Chi, L., De, Y., Zhong, W., et al.: Model test on rainfall-induced loess–mudstone interfacial landslides in Qingshuihe, China. Environ. Earth Sci. 75(9), 1–18 (2016)
Dai, Z., Huang, Y., Cheng, H., et al.: 3D numerical modeling using smoothed particle hydrodynamics of flow-like landslide propagation triggered by the 2008 Wenchuan earthquake. Eng. Geol. 180, 21–33 (2014)
Davies, O., Rouainia, M., Glendinning, S., et al.: Investigation of a pore pressure driven slope failure using a coupled hydro-mechanical model. Eng. Geol. 178(8), 70–81 (2014)
Degirolamo, P., Cecioni, C., Montagna, F., et al.: Numerical modeling of landslide generated tsunamis around a conical Island. Nat. Hazards 58(1), 591–608 (2011)
Fioravante, V.: Physical modeling of landslide stabilization methods in an overconsolidated clay. Geotech. Test. J. 31(2), 175–191 (2007)
Horrillo, J., Wood, A., Kim, G.B., et al.: A simplified 3-D Navier-Stokes numerical model for landslide-tsunami: application to the Gulf of Mexico. J. Geophys. Res. Oceans 118(12), 6934–6950 (2013)
Huang, Y., Zhang, W., Xu, Q., et.al.: Runout analysis of flow-like landslides triggered by the Ms 8.0 2008 Wenchuan earthquake using smoothed particle hydrodynamics. Landslides 9(2), 275–283 (2012)
Kent, P.E.: The transport mechanism in catastrophic rock falls. J. Geol. 74(1), 79–83 (1966)
Kong, J., Cai, Q., Zhang, Y., et al.: Physical model test of debris landslide reinforcement with single row micro-pile. J. Mt. Sci. 31(4), 399–405 (2013)
Lee, C.T., Huang, C.C., Lee, J.F., et al.: Statistical approach to earthquake-induced landslide susceptibility. Eng. Geol. 100(1), 43–58 (2008)
Li, X., Wu, Y., He, S., et al.: Application of the material point method to simulate the post-failure runout processes of the Wangjiayan landslide. Eng. Geol. 212, 1–9 (2016)
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. Eng. Geol. 123(1), 22–39 (2011)
Montagna, F., Bellotti, G., Risio, M.D.: 3D numerical modeling of landslide-generated tsunamis around a conical island. Nat. Hazards 58(1), 591–608 (2011)
Nandi, A., Shakoor, A.: A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Eng. Geol. 110(1), 11–20 (2010)
Pastor, M., Blanc, T., Haddad, B., et al.: Application of a SPH depth-integrated model to landslide runout analysis. Landslides 11(5), 793–812 (2014)
Pucker, T., Grabe, J.: Numerical simulation of the installation process of full displacement piles. Comput. Geotech. 45(9), 93–106 (2012)
Qiu, G., Henke, S.: Controlled installation of spudcan foundations on loose sand overlying weak clay. Mar. Struct. 24(4), 528–550 (2011)
Qiu, G., Henke, S., Grabe, J.: Application of a Coupled Eulerian-Lagrangian approach on geomechanical problems involving large deformations. Comput. Geotech. 38(1), 30–39 (2011)
Quinnp, E., Diederichsm, S., Rower, K., et al.: A new model for large landslides in sensitive clay using a fracture me. Can. Geotech. J. 48(8), 1151–1162 (2011)
Ramakrishnan, D., Singh, T.N., Verma, A.K., et al.: Soft computing and GIS for landslide susceptibility assessment in Tawaghat area, Kumaon Himalaya, India. Natural Hazards 65(1), 315–330 (2013)
Saha, A.K., Gupta, R.P., Sarkar, I., et al.: An approach for GIS-based statistical landslide susceptibility zonation—with a case study in the Himalayas. Landslides 2(1), 61–69 (2005)
Shahabi, H., Hashim, M.: Landslide susceptibility mapping using GIS-based statistical models and remote sensing data in tropical environment. Sci. Rep. 5(3), 9899 (2015)
Sun, Y., Yang, J., Song, E.: Runout analysis of landslides using material point method. In: Iop Conference Series: Earth and Environmental Science (2015)
Tang, C.L., Hu, J.C., Lin, M.L., et al.: The Tsaoling landslide triggered by the Chi-Chi earthquake, Taiwan: insights from a discrete element simulation. Eng. Geol. 106(1–2), 1–19 (2009)
Tho, K.K., Leung, C.F., Chow, Y.K., et al.: Eulerian Finite-Element technique for analysis of jack-up spudcan penetration. Int. J. Geomech. 12(1), 64–73 (2012)
Turner, D., Lucieer, A., De Jong, S.: Time series analysis of landslide dynamics using an unmanned aerial vehicle (UAV). Remote Sens. 7(2), 1736–1757 (2015)
Wu, J.H., Chen, C.H.: Application of DDA to simulate characteristics of the Tsaoling landslide. Comput. Geotech. 38(5), 741–750 (2011)
Yin, Y., Li, B., Wang, W., et al.: Mechanism of the December 2015 catastrophic landslide at the shenzhen landfill and controlling geotechnical risks of urbanization. Engineering 2(2), 230–249 (2016)
Yin, Y., Xing, A., Wang, G., et al.: Experimental and numerical investigations of a catastrophic long-runout landslide in Zhenxiong, Yunnan, southwestern China. Landslides 14(2), 1–11 (2017)
Yuan, R.M., Tang, C.L., Hu, J.C., et al.: Mechanism of the Donghekou landslide triggered by the 2008 Wenchuan earthquake revealed by discrete element modeling. Nat. Hazards Earth Syst. Sci. 14(5), 1195–1205 (2014)
Zhang, Y., Wang, J., Xu, Q., et al.: DDA validation of the mobility of earthquake-induced landslides. Eng. Geol. 194, 38–51 (2014)
Zhang, Z., Wang, T., Wu, S., et al.: Investigation of dormant landslides in earthquake conditions using a physical model. Landslides 1, 1–13 (2017)
Zhou, J., Cui, P., Yang, X.: Dynamic process analysis for the initiation and movement of the Donghekou landslide-debris flow triggered by the Wenchuan earthquake. J. Asian Earth Sci. 76, 70–84 (2013)
Acknowledgements
This work was supported by national natural science foundation of China (No. 11705083), the state key laboratory of safety and health for metal mines (No. 2016-JSKSSYS-08), the PHD initial foundation program of the University of South China (No. 2014XQD11), and the natural science foundation of Hunan Province (No. 2017JJ4009).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Feng, Sy., Li, Hq., Li, Xy., Liu, Y., Chen, Z. (2019). Coupled Eulerian-Lagrangian Modeling to Study the Long-Runout Landslide: A Case Study. In: Cheng, WC., Yang, J., Wang, J. (eds) Tunneling in Soft Ground, Ground Conditioning and Modification Techniques. GeoChina 2018. Sustainable Civil Infrastructures. Springer, Cham. https://doi.org/10.1007/978-3-319-95783-8_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-95783-8_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-95782-1
Online ISBN: 978-3-319-95783-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)