G
Gilles Rusaouen
Researcher at University of Lyon
Publications - 37
Citations - 872
Gilles Rusaouen is an academic researcher from University of Lyon. The author has contributed to research in topics: Airflow & Computational fluid dynamics. The author has an hindex of 14, co-authored 37 publications receiving 761 citations. Previous affiliations of Gilles Rusaouen include Institut national des sciences Appliquées de Lyon & Intelligence and National Security Alliance.
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LBM based flow simulation using GPU computing processor
TL;DR: This paper develops a general purpose Lattice Boltzmann code that runs entirely on a single GPU and shows that simple precision floating point arithmetic is sufficient for LBM computation in comparison to double precision.
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Heat transfer modeling in vacuum insulation panels containing nanoporous silicas—A review
TL;DR: In this paper, a complete review on heat transfer modeling in vacuum insulation panels containing nanoporous silicas is conducted and the parameters that play a key role in the total heat transfer are identified.
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A double-population lattice Boltzmann method with non-uniform mesh for the simulation of natural convection in a square cavity
TL;DR: In this paper, a double-population thermal Lattice Boltzmann method has been proposed to solve the problem of the heated cavity with imposed temperatures, which enables the use of such method for predicting thermal flows of engineering interest.
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Experimental and numerical study of a full scale ventilated enclosure : Comparison of four two equations closure turbulence models
TL;DR: In this paper, full-scale experimental and computational fluid dynamics (CFD) methods are used to investigate the velocity and temperature fields in a mechanically ventilated enclosure, and detailed airflow fields are measured in three cases of ventilation air temperature: an isothermal case, a hot case and a cold case.
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Numerical prediction of indoor air humidity and its effect on indoor environment
TL;DR: In this paper, a numerical model to assess the thermal comfort taking into account the indoor air moisture and its transport by the airflow within an enclosure is described, which is essentially based on the computational fluid dynamics technique, using a revised k-e turbulence model, the "realisable" k −e model.