Volume 17, Issue 5
Numerical Simulation of Melting with Natural Convection Based on Lattice Boltzmann Method and Performed with CUDA Enabled GPU

Wei Gong, Kévyn Johannes & Frédéric Kuznik

Commun. Comput. Phys., 17 (2015), pp. 1201-1224.

Published online: 2018-04

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  • Abstract

A new solver is developed to numerically simulate the melting phase change with natural convection. This solver was implemented on a single Nvidia GPU based on the CUDA technology in order to simulate the melting phase change in a 2D rectangular enclosure. The Rayleigh number is of the order of magnitude of 108 and Prandlt is 50. The hybrid thermal lattice Boltzmann method (HTLBM) is employed to simulate the natural convection in the liquid phase, and the enthalpy formulation is used to simulate the phase change aspect. The model is validated by experimental data and published analytic results. The simulation results manifest a strong convection in the melted phase and a different flow pattern from the reference results with low Rayleigh number. In addition, the computational performance is estimated for single precision arithmetic, and this solver yields 703.31MLUPS and 61.89GB/s device to device data throughput on a Nvidia Tesla C2050 GPU.

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COPYRIGHT: © Global Science Press

  • Email address

gongwei@amss.ac.cn (Wei Gong)

Kevyn.Johannes@insa-lyon.fr ( Kévyn Johannes)

frederic.kuznik@insa-lyon.fr ( Frédéric Kuznik)

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@Article{CiCP-17-1201, author = {Gong , Wei and Kévyn Johannes , and Frédéric Kuznik , }, title = {Numerical Simulation of Melting with Natural Convection Based on Lattice Boltzmann Method and Performed with CUDA Enabled GPU}, journal = {Communications in Computational Physics}, year = {2018}, volume = {17}, number = {5}, pages = {1201--1224}, abstract = {

A new solver is developed to numerically simulate the melting phase change with natural convection. This solver was implemented on a single Nvidia GPU based on the CUDA technology in order to simulate the melting phase change in a 2D rectangular enclosure. The Rayleigh number is of the order of magnitude of 108 and Prandlt is 50. The hybrid thermal lattice Boltzmann method (HTLBM) is employed to simulate the natural convection in the liquid phase, and the enthalpy formulation is used to simulate the phase change aspect. The model is validated by experimental data and published analytic results. The simulation results manifest a strong convection in the melted phase and a different flow pattern from the reference results with low Rayleigh number. In addition, the computational performance is estimated for single precision arithmetic, and this solver yields 703.31MLUPS and 61.89GB/s device to device data throughput on a Nvidia Tesla C2050 GPU.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.2014.m350}, url = {http://global-sci.org/intro/article_detail/cicp/11009.html} }
TY - JOUR T1 - Numerical Simulation of Melting with Natural Convection Based on Lattice Boltzmann Method and Performed with CUDA Enabled GPU AU - Gong , Wei AU - Kévyn Johannes , AU - Frédéric Kuznik , JO - Communications in Computational Physics VL - 5 SP - 1201 EP - 1224 PY - 2018 DA - 2018/04 SN - 17 DO - http://doi.org/10.4208/cicp.2014.m350 UR - https://global-sci.org/intro/article_detail/cicp/11009.html KW - AB -

A new solver is developed to numerically simulate the melting phase change with natural convection. This solver was implemented on a single Nvidia GPU based on the CUDA technology in order to simulate the melting phase change in a 2D rectangular enclosure. The Rayleigh number is of the order of magnitude of 108 and Prandlt is 50. The hybrid thermal lattice Boltzmann method (HTLBM) is employed to simulate the natural convection in the liquid phase, and the enthalpy formulation is used to simulate the phase change aspect. The model is validated by experimental data and published analytic results. The simulation results manifest a strong convection in the melted phase and a different flow pattern from the reference results with low Rayleigh number. In addition, the computational performance is estimated for single precision arithmetic, and this solver yields 703.31MLUPS and 61.89GB/s device to device data throughput on a Nvidia Tesla C2050 GPU.

Wei Gong, Kévyn Johannes & Frédéric Kuznik. (2020). Numerical Simulation of Melting with Natural Convection Based on Lattice Boltzmann Method and Performed with CUDA Enabled GPU. Communications in Computational Physics. 17 (5). 1201-1224. doi:10.4208/cicp.2014.m350
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