Articles | Volume 18, issue 12
https://doi.org/10.5194/nhess-18-3343-2018
https://doi.org/10.5194/nhess-18-3343-2018
Research article
 | 
19 Dec 2018
Research article |  | 19 Dec 2018

Forecasting landslide mobility using an SPH model and ring shear strength tests: a case study

Miao Yu, Yu Huang, Wenbin Deng, and Hualin Cheng

Viewed

Total article views: 2,663 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,664 915 84 2,663 63 81
  • HTML: 1,664
  • PDF: 915
  • XML: 84
  • Total: 2,663
  • BibTeX: 63
  • EndNote: 81
Views and downloads (calculated since 24 Jan 2018)
Cumulative views and downloads (calculated since 24 Jan 2018)

Viewed (geographical distribution)

Total article views: 2,663 (including HTML, PDF, and XML) Thereof 2,282 with geography defined and 381 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
Flow-like landslides, such as flow slides and debris avalanches, have caused serious infrastructure damage and casualties for centuries. Effective numerical simulation incorporating accurate soil mechanical parameters is essential for predicting post-failure landslide mobility. In this study, smoothed particle hydrodynamics (SPH) incorporating soil ring shear test results were used to forecast the long-runout mobility for a landslide on an unstable slope in China.
Altmetrics
Final-revised paper
Preprint