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Mohamed M. Kamra

Researcher at Kyushu University

Publications -  10
Citations -  60

Mohamed M. Kamra is an academic researcher from Kyushu University. The author has contributed to research in topics: Free surface & Turbulence. The author has an hindex of 3, co-authored 10 publications receiving 29 citations.

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Experimental study of the interaction of dambreak with a vertical cylinder

TL;DR: In this paper, the gate motion is thoroughly studied and a novel gate motion formula is proposed based on the recent experimental data and the effect of gate obstruction on the time of impact with the cylindrical obstacle is presented and correlated to the parameters of the proposed motion profile thus emphasizing its significance in numerical modeling of dam break flow.
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Numerical and experimental investigation of three-dimensionality in the dam-break flow against a vertical wall

TL;DR: In this paper, the authors investigated the three-dimensional extent of the dam break flow over a vertical wall and found that the free surface is captured by using the unstructured multi-dimensional interface capturing (UMTHINC) scheme.
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Lattice boltzmann method for free surface impacting on vertical cylinder: A comparison with experimental data

TL;DR: In this article, a three-dimensional lattice Boltzmann method (LBM) simulation on free surface impact phenomena with the validation on a newly performed dam breaking experiment was performed.
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A high order flux reconstruction interface capturing method with a phase field preconditioning procedure

TL;DR: In this article, a novel, preconditioned and localized phase-field method is developed to capture sharp interfaces moving in divergence-free velocity fields using the high-order Flux Reconstruction approach on unstructured grids.
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An unstructured mesh method for numerical simulation of violent sloshing flows

TL;DR: An unstructured mesh Reynolds-averaged Navier-Stokes (RANS) solver has been developed for numerical simulation of violent sloshing flows inside a tank with complicated inner structures and the results are discussed and the effect of turbulence model choice on loading predictions is highlighted.