J
Jean-Yves Trépanier
Researcher at École Polytechnique de Montréal
Publications - 130
Citations - 2123
Jean-Yves Trépanier is an academic researcher from École Polytechnique de Montréal. The author has contributed to research in topics: Euler equations & Lattice Boltzmann methods. The author has an hindex of 24, co-authored 128 publications receiving 1933 citations. Previous affiliations of Jean-Yves Trépanier include École Normale Supérieure & École Polytechnique.
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Discrete form of the GCL for moving meshes and its implementation in CFD schemes
TL;DR: A methodology which represents the geometric conservations laws in discrete forms in flow solvers is presented, and the volumetric change of an arbitrarily moving control cell in multidimensions is obtained following the exact solution of thevolumetric increments along the faces.
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Numerical evaluation of two recoloring operators for an immiscible two-phase flow lattice Boltzmann model
TL;DR: The scope is to integrate and adapt the Latva-Kokko and Rothman recoloring algorithms for reducing the lattice pinning problem found in the Reis and Phillips model, and to conduct a set of numerical tests to show that the combination of the two algorithms leads to an improvement in the quality of the results, along with a better convergence.
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Optimized Nonuniform Rational B-Spline Geometrical Representation for Aerodynamic Design of Wings
TL;DR: In this article, the authors investigated the performance of an optimized nonuniform rational B-spline (NURBS) geometrical representation for the aerodynamic design of wings.
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Progress and investigation on lattice Boltzmann modeling of multiple immiscible fluids or components with variable density and viscosity ratios
TL;DR: A hydrodynamic lattice Boltzmann model for simulating immiscible multiphase flows with high density and high viscosity ratios, and can recover the analytical solutions for all the selected test cases, as long as unit density ratios are considered.
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A posteriori error estimation for finite-volume solutions of hyperbolic conservation laws
TL;DR: The results demonstrate that the error estimation technique can correctly predict the location and magnitude of the errors and can be used for grid adaptation to control the magnitude of error.