DC06: High-performance multi-phase, volume-coupled material point method for modelling submarine landslides

Doctoral Candidate

Ibrohim Hamoud

I am Ibrohim Hamoud from Uppsala, Sweden. I hold a Master’s degree in Computational Science from Uppsala University and a Bachelor’s degree in Physics from Lund University. My Master’s thesis focused on numerical time integration methods for the nonlinear Schrödinger equation.

Currently, I am a PhD candidate at the University of Twente, a member of the Soil-Micro Mechanics (SMM) group, and part of the Marie Curie Poseidon project. I conduct my research under the supervision of Dr. Vanessa Magnanimo, Dr. Stefan Luding, and Dr. Hongyang Cheng.

My research focuses on modeling granular-fluid mixtures to study submarine landslides, with an emphasis on developing efficient numerical methods for their simulation

Contact:

ibrohim.hamoud@utwente.nl

Project Details

Host Institutions

University of Twente

Secondments

Free University of Bolzano [2 months]
University of Liverpool [3 months]

Contact

Ibrohim Hamoud

Supervisors

Dr. Hongyang Cheng
Prof. Vanessa Magnanimo
Prof. Stefan Luding

Submarine landslides involve the movement of saturated sediments down a slope, interacting with seawater and/or offshore infrastructure. During landslides, the bulk of the sediment material (usually considered as a porous medium), transits from solid-like to fluid-like, i.e., from stagnant to continuously flowing. In addition, the coupling between seawater and sediment is crucial in the landslide dynamics. Recent studies have shown that the material point method (MPM) can describe the movement of saturated sediment and the hydrodynamic coupling between soil skeleton and seawater, within a multiple-phase framework. Nevertheless, to accurately predict the dynamics of and dissipation within the sliding masses, the transition between solid and flowing states of sediments must be incorporated.

As part of this project, I am implementing the constitutive model using a state-of-the-art GPU-accelerated Material Point Method (GPU-MPM). This work aims to deliver more accurate, highly efficient, and physics-based predictions for submarine landslides, enabling quantitative assessments of risks and potential damages to offshore infrastructure.

Detailed description of the project can be found here.

This project has received funding from the European Union under Grant Agreement No. 101120236

Navigation

Home About Consortium Team Projects Results Contact

Tools