Mengtao Han, Royzo Ooka, Hideki Kikumoto. Comparison of Lattice Boltzmann Method and Finite Volume Method with Large Eddy Simulation in Isothermal Room Flow[C]//7th International Building Physics Conference (IBPC 2018):Healthy, Intelligent and Resilient Buildings and Urban Environments. Syracuse, New York: International Association of Building Physics (IABP), 2018: 1121–1126.
发布时间：2021-03-10
点击次数：
- 论文类型：
- 论文集
- 发表刊物：
- 7th International Building Physics Conference (IBPC 2018)
- 刊物所在地：
- Syracus, US
- 学科门类：
- 工学
- 一级学科：
- 建筑学
- 文献类型：
- J
- 页面范围：
- 1121-1126
- 关键字：
- Finite volume method; Indoor turbulent flow; Large-eddy simulation; Lattice Boltzmann method
- DOI码：
- 10.14305/ibpc.2018.ms-5.02
- 发表时间：
- 2018-09-10
- 摘要：
- Lattice Boltzmann method (LBM), as a new computational fluid simulation method, has aroused widespread attention in recent decades within engineering practice. LBM with large eddy simulation (LBM-LES) model is commonly used in predicting high Reynolds flow, and is considered to have a prediction accuracy similar to traditional finite volume method (FVMLES). Nonetheless, a systematic discussion on the accuracy of LBM-LES, and its consistency with FVM-LES, in indoor turbulent flow situations, is still insufficient. In this study, simulations of an indoor isothermal forced convection benchmark case (from IEA Annex 20) are implemented by using both LBM-LES and FVM-LES, with the aim of comparing the accuracies of LBM-LES and FVM-LES, in indoor turbulent flow situations. A comparison of their relative computation speeds, and parallel computation performances, is also implemented. The results show that LBM-LES can achieve the same level of accuracy as FVM-LES, in indoor turbulent flow situations; however, more refined meshes are required. Compared with FVMLES, half size grids are required for LBM-LES to approach similar levels of accuracy, meaning that the meshes of LBM-LES are approximately eight times as large as FVM-LES. The computation speeds of both LBM-LES and FVM-LES scale well, with the increase in the number of computation cores in one node. Their computation speeds (with the same accuracy) approach a similar level; however, the parallel computation speed of the LBM-LES speed can be larger than FVM, owing to its superior parallel speedup performance.
- 备注：
- 第7届国际建筑物理大会
- 上一条：Mengtao Han, Royzo Ooka, Hideki Kikumoto. Compressibility error of lattice Boltzmann method-based large eddy simulation with BGK model in indoor flows[C]//Proceedings of the 15th International Conference on Wind Engineering (ICWE15), Beijing, China, 2019.
- 下一条：Mengtao Han, Royzo Ooka, Hideki Kikumoto. Comparison between lattice Boltzmann method and finite volume method for LES in the built environment[C]//The 7th International Symposium on Computational Wind Engineering 2018 (CWE2018), Seoul, South Korea, 2018.