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

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

doi:https://doi.org/10.5194/nhess-18-3343-2018

Articles | Volume 18, issue 12

https://doi.org/10.5194/nhess-18-3343-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-18-3343-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 12

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

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Final revised paper (published on 19 Dec 2018)
Preprint (discussion started on 24 Jan 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Comments on nhess-2018-6', Anonymous Referee #1, 09 Feb 2018
- AC1: 'Reply to the comment on Anonymous Referee #1', Yu Huang, 30 Oct 2018
RC2: 'Comment', Anonymous Referee #2, 21 Mar 2018
- AC2: 'Reply to the comment on Anonymous Referee #2', Yu Huang, 30 Oct 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to technical corrections (01 Dec 2018) by Mario Parise

AR by Yu Huang on behalf of the Authors (03 Dec 2018) Author's response Manuscript

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.