Simulation of a Submarine Landslide Using the Coupled Material Point Method

Joint Authors

Zhang, Wei
Pan, Bo
Shi, Jia-jie
Wang, Bin
Li, Cheng-yang

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-07-17

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

Exploring the submarine landslide is challenging due to the invisibility nature and the complex soil-water interaction and large deformation throughout its runout process.

The purpose of this paper is to investigate the ability of the coupled material point method (MPM) in modeling the soil flows under water.

A sand-column collapse experiment is performed fully under water initially, with the results used to benchmark the MPM analysis.

Thereafter, the whole failure process of a real submarine landslide in the South Mediterranean sea is simulated using MPM.

The results show that MPM can be a reliable tool in capturing the postfailure behaviors of the submarine landslide.

The failure mode of the landslide is flow-type, with an initial translational slide moving to a diffusive one eventually.

American Psychological Association (APA)

Shi, Jia-jie& Zhang, Wei& Wang, Bin& Li, Cheng-yang& Pan, Bo. 2020. Simulation of a Submarine Landslide Using the Coupled Material Point Method. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1195196

Modern Language Association (MLA)

Shi, Jia-jie…[et al.]. Simulation of a Submarine Landslide Using the Coupled Material Point Method. Mathematical Problems in Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1195196

American Medical Association (AMA)

Shi, Jia-jie& Zhang, Wei& Wang, Bin& Li, Cheng-yang& Pan, Bo. Simulation of a Submarine Landslide Using the Coupled Material Point Method. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1195196

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1195196