Finite Element Simulation for Seismic Ground Response in Mountainous Areas in Nepal

  • Akihiko WakaiEmail author
  • Daisuke Higaki
  • Hiroshi Yagi
  • Go Sato
  • Masahiro Chigira
Conference paper


In this study, dynamic elasto-plastic finite element method is applied to simulate seismic ground response in mountainous districts in Nepal, which aims to reevaluate the earthquake-induced landslides occurred at the time of The 2015 Nepal Gorkha Earthquake. In the analysis, nonlinear material properties of the ground as well as 3D topography, geological conditions and input motion are taken into account appropriately. Those factors strongly influence the dynamic amplification effects relevant to slope failures. Throughout the comparisons of the results between the calculated one and observed facts in local areas, it can be concluded that the proposed numerical method has a sufficient ability to predict the phenomena and can be possibly utilized for predicting overall distribution of earthquake-induced landslide which would be helpful for developing landslide susceptibility maps in mountainous areas in Nepal.


Earthquake Nepal Finite element method Seismic response 



We would like to express sincere thanks for the Japan-Nepal Urgent Collaborative Projects regarding the April 2015 Nepal earthquake within the J-RAPID Program by the Japan Science and Technology Agency, which is titled as “Inventory mapping of earthquake-induced landslides and hazard mapping of future landslides for making the plan of better reconstruction” (Prof. Chigira, M., Kyoto University Leader), for its valuable financial supports for a part of this study.

We would like to thank Dr. Milton Plasencia and Dr. Franco Pettenati at Ev-K2-CNR Association, Italy, who provided valuable observed earthquake records and kind advices to the authors. We also thank our fellow graduate students in Gunma University, Mr. Satake, Ms. Fueki, Ms. Tomizawa, Mr. Niijima and Ms. Kameyama, in for the stimulating discussions in this study.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Akihiko Wakai
    • 1
    Email author
  • Daisuke Higaki
    • 2
  • Hiroshi Yagi
    • 3
  • Go Sato
    • 4
  • Masahiro Chigira
    • 5
  1. 1.Faculty of Science and TechnologyGunma UniversityKiryuJapan
  2. 2.Faculty of Agriculture and Life ScienceHirosaki UniversityHirosakiJapan
  3. 3.Faculty of Education, Art and ScienceYamagata UniversityYamagataJapan
  4. 4.Teikyo Heisei UniversityTokyoJapan
  5. 5.Disaster Prevention Research InstituteKyoto UniversityUjiJapan

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