Advertisement

Effects of Parameters in Landslide Simulation Model LS-RAPID on the Dynamic Behaviour of Earthquake-Induced Rapid Landslides

  • Bin HeEmail author
  • Kyoji Sassa
  • Maja Ostric
  • Kaoru Takara
  • Yosuke Yamashiki
Chapter

Abstract

In this study, the effects of parameters in landslide simulation model (LS-RAPID) on the dynamic behaviour of earthquake-induced rapid landslides were examined to demonstrate the importance of each parameter. It was applied to a case study in Suruga Bay, Shizuoka Prefecture in Japan. The topographic data of the slope surface and sliding surface was generated from digital elevation model (DEM). Three different real seismic records were used as the inputs of earthquake i.e. 2008 Iwate-Miyagi Nairiku Inland Earthquake, 2009 Suruga Bay Earthquake, and the latest 2011 Tohoku Earthquake. Results show that landslides can be triggered by strong seismic loading using 2011 Tohoku real seismic records under a certain pore water pressure within LS-RAPID. The key parameters, including shear resistance at the steady state with physical meaning were found to have significant effect on the dynamic behaviour of these earthquake-induced rapid landslides.

Keywords

Earthquake-induced landslides Parameter Simulation model Dynamic behaviour 

Notes

Acknowledgments

The ring shear apparatus was developed by the International Programme on Landslides (IPL) and the Science and Technology Research Partnership for Sustainable Development Programme (SATREPS) of Japan Science and Technology Agency (JST) and Japan International Cooperation Agency (JICA). We are also grateful for the support by the Kyoto University GCOE program “Sustainability/Survivability Science for a Resilient Society Adaptable to Extreme Weather Conditions” and JSPS Grant-in-Aid for Young Scientists (B) (90569724).

References

  1. Hutchinson JN (1986) A sliding-consolidation model for flow slides. Can Geotech J 23(2):115–126CrossRefGoogle Scholar
  2. Perla R, Cheng TT, McCling DM (1980) A two-parameter model of snow avalanche motion. J Glaciol 26:197–207Google Scholar
  3. Sassa K (1988) Special lecture: the geotechnical model for the motion of landslides. In: Proceedings of the 5th international symposium on landslides, Lausanne, vol 1, pp 33–52Google Scholar
  4. Sassa K, Wang G, Fukuoka H (2003) Performing undrained shear tests on saturated sands in a new intelligent type of ring-shear apparatus. Geotech Test J 26(3):257–265Google Scholar
  5. Sassa K, Wang G, Fukuoka H, Wang FW, Ochiai T, Sugiyama M, Sekiguchi T (2004a) Landslide risk evaluation and hazard zoning for rapid and long-travel landslide in urban development areas. Landslides 1(3):221–235CrossRefGoogle Scholar
  6. Sassa K, Fukuoka H, Wang G, Ishikawa N (2004b) Undrained dynamic-loading ring-shear apparatus and its application to landslide dynamics. Landslides 1(1):7–19CrossRefGoogle Scholar
  7. Sassa K, He B, Miyagi T, Ostric M, Baba T, Nagai O, Furumura T, Konagai K, Kaneda Y, Yamashiki Y (2011) A possible submarine megaslide in Suruga bay in Japan – an interpretation of Senoumi (Stony flower sea) bathymetric feature. Landslides (in submission)Google Scholar
  8. Wang F, Sassa K (2010) Landslide simulation by a geotechnical model combined with a model for apparent friction change. Phys Chem Earth 35:149–161CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Bin He
    • 1
    • 2
    Email author
  • Kyoji Sassa
    • 3
  • Maja Ostric
    • 4
  • Kaoru Takara
    • 2
  • Yosuke Yamashiki
    • 2
  1. 1.Educational Unit for Adaptation and Resilience for a Sustainable Society, Center for Promotion of Interdisciplinary Education and ResearchKyoto UniversityUjiJapan
  2. 2.Disaster Prevention Research Institute (DPRI)Kyoto UniversityUjiJapan
  3. 3.International Consortium on LandslidesUjiJapan
  4. 4.Department of Environmental Engineering, Graduate School of EngineeringKyoto UniversityUjiJapan

Personalised recommendations