D
David Le Touzé
Researcher at École Centrale Paris
Publications - 33
Citations - 781
David Le Touzé is an academic researcher from École Centrale Paris. The author has contributed to research in topics: Smoothed-particle hydrodynamics & Computational fluid dynamics. The author has an hindex of 11, co-authored 33 publications receiving 470 citations.
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Theoretical considerations on the free-surface role in the smoothed-particle-hydrodynamics model.
TL;DR: An in-depth analysis of the theoretical structure of the smoothed-particle hydrodynamics (hereinafter SPH) is provided for an inviscid, weakly compressible, and barotropic flow in the presence of a free surface.
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Grand challenges for Smoothed Particle Hydrodynamics numerical schemes
Renato Vacondio,Corrado Altomare,Corrado Altomare,Matthieu de Leffe,Xiangyu Hu,David Le Touzé,Steven Lind,Jean-Christophe Marongiu,Salvatore Marrone,Benedict D. Rogers,Antonio Souto-Iglesias +10 more
TL;DR: A brief review of grand challenges of Smoothed Particle Hydrodynamics (SPH) method and a discussion on the areas for future development is presented.
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An accurate FSI-SPH modeling of challenging fluid-structure interaction problems in two and three dimensions
TL;DR: Sun et al. as mentioned in this paper combined the multi-resolution δ + -SPH scheme and a total Lagrangian SPH method for more complex three-dimensional (3D) Fluid Structure Interaction (FSI) problems.
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The suction effect during freak wave slamming on a fixed platform deck: Smoothed particle hydrodynamics simulation and experimental study
TL;DR: In this article, a smoothed particle hydrodynamics (SPH) method was adopted to simulate the freak wave slamming on a fixed platform with the consideration of the suction effect, which can cause the so-called tensile instability in SPH simulations.
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SPH high-performance computing simulations of rigid solids impacting the free-surface of water
TL;DR: The aim of the paper is to show how such SPH simulations of complex 3D problems involving a free surface can be performed on a super computer like the IBM Blue Gene/L with 8,192 cores of Ecole polytechnique federale de Lausanne.