Skip to main content
Log in

Run-out prediction and failure mechanism analysis of the Zhenggang deposit in southwestern China

  • Technical Note
  • Published:
Landslides Aims and scope Submit manuscript

Abstract

Due to the intensive rainfalls in October 2008 and the heavy snowfalls in February 2009, the Zhenggang deposit exhibited a high probability of landslide reactivation. A good understanding in landslide run-out prediction and failure mechanism analysis was thus highly urgent. In this study, the landslide dynamic simulations were performed for studying the run-out prediction and the failure mechanism of the Zhenggang deposit. The impacts of the friction coefficient at sliding surface and the contact damping ratio on landslide run-out were investigated. The potential improvement of the proposed landslide run-out modeling was discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

References

  • Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. B Eng Geol Environ 58:21–44

    Article  Google Scholar 

  • Cai M, Kaiser PK, Tasaka Y, Minami M (2007) Determination of residual strength parameters of jointed rock masses using the GSI system. Int J Rock Mech Min 44:247–265

    Article  Google Scholar 

  • Cho NA, Martin CD, Sego DC (2007) A clumped particle model for rock. Int J Rock Mech Min 44:997–1010

    Article  Google Scholar 

  • Corominas J, Van Westen C, Frattini P, Cascini L, Malet JP, Fotopoulou S, Catani F, Van Den Eeckhaut M, Mavrouli O, Agliardi F, Pitilakis K (2014) Recommendations for the quantitative analysis of landslide risk. B Eng Geol Environ 73:209–263

    Google Scholar 

  • Cundall PA, Strack OD (1979) A discrete numerical model for granular assemblies. Geotechnique 29:47–65

    Article  Google Scholar 

  • Fakhimi A, Villegas T (2007) Application of dimensional analysis in calibration of a discrete element model for rock deformation and fracture. Rock Mech Rock Eng 40:193–211

    Article  Google Scholar 

  • Fall M, Azzam R, Noubactep C (2006) A multi-method approach to study the stability of natural slopes and landslide susceptibility mapping. Eng Geol 82:241–263

    Article  Google Scholar 

  • Fell R, MacGregor JP, Williams J, Searle P (1987) A landslide in Patonga claystone on the Sydney-Newcastle freeway. Geotechnique 37:255–269

    Article  Google Scholar 

  • Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31:181–216

    Article  Google Scholar 

  • Hoek E, Bray JD (1981) Rock slope engineering. CRC Press, New York

    Google Scholar 

  • Huang R, Chan L (2004) Human-induced landslides in China: mechanism study and its implications on slope management. CJRME 23:2766–2777 (In Chinese)

    Google Scholar 

  • Huang Y, Zhang W, Xu Q, Xie P, Hao L (2012) Run-out analysis of flow-like landslides triggered by the Ms 8.0 2008 Wenchuan earthquake using smoothed particle hydrodynamics. Landslides 9:275–283

    Article  Google Scholar 

  • Hungr O, McDougall S (2009) Two numerical models for landslide dynamic analysis. Comput Geosci 35:978–992

    Article  Google Scholar 

  • Ishii Y, Ota K, Kuraoka S, Tsunaki R (2012) Evaluation of slope stability by finite element method using observed displacement of landslide. Landslides 9:335–348

    Article  Google Scholar 

  • Itasca (2006) PFC3D User’s Manual. Itasca Consulting Group, Inc, Minneapolis, MN, USA

  • Jade S, Sarkar S (1993) Statistical models for slope instability classification. Eng Geol 36:91–98

    Article  Google Scholar 

  • Jiang M, Murakami A (2012) Distinct element method analyses of idealized bonded-granulate cut slope. Granul Matter 14:393–410

    Article  Google Scholar 

  • Katz O, Morgan JK, Aharonov E, Dugan B (2014) Controls on the size and geometry of landslides: insights from discrete element numerical simulations. Geomorphology 220:104

    Article  Google Scholar 

  • McDougall S, Pirulli M, Hungr O, Scavia C (2008) Advances in landslide continuum dynamic modeling. In: Chen Z, Zhang J, Ho K, Wu F, Li Z (eds) Proceedings of the 10th international symposium on landslides and engineered slopes, Xi’an, China. CRC Press, Boca Raton, pp. 145–157

    Google Scholar 

  • Pasenow F, Zilian A, Dinkler D (2013) Extended space-time finite elements for landslide dynamics. Int J Numer Meth Eng 93:329–354

    Article  Google Scholar 

  • Poisel R, Preh A (2008) 3D landslide run out modelling using the particle flow code PFC3D. In: Chen Z, Zhang J, Li Z, Wu F, Ho K (eds) Proceedings of the 10th international symposium on landslides and engineered slopes, Xi’an, China. CRC Press, Boca Raton, pp. 873–879

    Google Scholar 

  • Potyondy DO, Cundall PA (2004) A bonded-particle model for rock. Int J Rock Mech Min 41:1329–1364

    Article  Google Scholar 

  • Samui P, Kothari DP (2011) Utilization of a least square support vector machine (LSSVM) for slope stability analysis. Sci Iran 18:53–58

    Article  Google Scholar 

  • Tang CL, Hu JC, Lin ML, Angelier J, Lu CY, Chan YC, Chu HT (2009) The Tsaoling landslide triggered by the Chi-Chi earthquake, Taiwan: insights from a discrete element simulation. Eng Geol 106:1–19

    Article  Google Scholar 

  • Wang F, Sassa K (2010) Landslide simulation by a geotechnical model combined with a model for apparent friction change. Phys Chem Earth A B C 35:149–161

    Article  Google Scholar 

  • Wang FW, Zhang YM, Huo ZT, Matsumoto T, Huang BL (2004) The July 14, 2003 Qianjiangping landslide, Three Gorges Reservoir, China. Landslides 1:157–162

    Article  Google Scholar 

  • Wang YT, Seijmonsbergen AC, Bouten W, Chen QT (2015) Using statistical learning algorithms in regional landslide susceptibility zonation with limited landslide field data. J Mt Sci 12:268–288

    Article  Google Scholar 

  • WP/WLI (1993) A suggested method for describing the activity of a landslide. Bull Int Assoc Eng Geol 47:53–57

    Article  Google Scholar 

  • Xie NM, Xin JH, Liu SF (2014) China’s regional meteorological disaster loss analysis and evaluation based on grey cluster model. Nat Hazards 71:1067–1089

    Article  Google Scholar 

  • Xu L, Meng X, Xu X (2014) Natural hazard chain research in China: a review. Nat Hazards 70:1631–1659

    Article  Google Scholar 

  • Yoon J (2007) Application of experimental design and optimization to PFC model calibration in uniaxial compression simulation. Int J Rock Mech Min 44:871–889

    Article  Google Scholar 

  • Zhang L, Huiming T, Chengren X (2012) Movement process simulation of high-speed longdistance Jiweishan landslide with PFC 3D. CJRME 31:2601–2611 (In Chinese)

    Google Scholar 

  • Zhu SB, Shi YL, Lu M, Xie FR (2013) Dynamic mechanisms of earthquake-triggered landslides. Sci China Earth Sci 56:1769–1779

    Article  Google Scholar 

Download references

Acknowledgments

The research work was supported by the National Key Technology R&D Program of China (2013BAB06B00), the National Natural Science Foundation of China (50911130366; 51309089), and the Fundamental Research Funds for the Central Universities of China. (KYLX_0441).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. N. Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, S.N., Xu, W.Y., Shi, C. et al. Run-out prediction and failure mechanism analysis of the Zhenggang deposit in southwestern China. Landslides 14, 719–726 (2017). https://doi.org/10.1007/s10346-016-0770-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10346-016-0770-y

Keywords

Navigation