Large-scale DNS of gas-solid flows on Mole-8.5
文献类型:期刊论文
作者 | Xiong, Qingang1,2; Li, Bo1,2; Zhou, Guofeng1,2; Fang, Xiaojian1,2; Xu, Ji1,2; Wang, Junwu1; He, Xianfeng1; Wang, Xiaowei1; Wang, Limin1; Ge, Wei1 |
刊名 | CHEMICAL ENGINEERING SCIENCE
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出版日期 | 2012-03-26 |
卷号 | 71期号:71页码:422-430 |
关键词 | Direct numerical simulation Multiphase flow GPU Suspension Dynamic simulation Scale-up |
ISSN号 | 0009-2509 |
其他题名 | Chem. Eng. Sci. |
中文摘要 | Direct numerical simulation (DNS) for gas-solid flow is implemented on a multi-scale supercomputing system-Mole-8.5 featuring massive parallel GPU-CPU hybrid computing, for which the lattice Boltzmann method (LBM) is deployed together with the immersed moving boundary (IMB) method and discrete element method (DEM). Numerical schemes and their GPU parallelism strategy are described in detail, where more than 40-fold speedup is achieved on one Nvidia C2050 GPU over one core of Intel E5520 CPU in double precision, and nearly ideal scalability is maintained when using up to 672 GPUs. A two-dimensional suspension with 1,166,400 75-mu m solid particles distributed in an area of 11.5 cm x 46 cm, and a three-dimensional suspension with 129,024 solid particles in a domain of 0.384 cm x 1.512 cm x 0.384 cm are fully resolved below particle scale and distinct multi-scale heterogeneity are observed. The simulations demonstrate that LBM-IMB-DEM modeling with parallel GPU computing may suggest a promising approach for exploring the fundamental mechanisms and constitutive laws of complex gas-solid flow, which are, so far, poorly understood in both experiments and theoretical studies. (C) 2011 Elsevier Ltd. All rights reserved. |
英文摘要 | Direct numerical simulation (DNS) for gas-solid flow is implemented on a multi-scale supercomputing system-Mole-8.5 featuring massive parallel GPU-CPU hybrid computing, for which the lattice Boltzmann method (LBM) is deployed together with the immersed moving boundary (IMB) method and discrete element method (DEM). Numerical schemes and their GPU parallelism strategy are described in detail, where more than 40-fold speedup is achieved on one Nvidia C2050 GPU over one core of Intel E5520 CPU in double precision, and nearly ideal scalability is maintained when using up to 672 GPUs. A two-dimensional suspension with 1,166,400 75-mu m solid particles distributed in an area of 11.5 cm x 46 cm, and a three-dimensional suspension with 129,024 solid particles in a domain of 0.384 cm x 1.512 cm x 0.384 cm are fully resolved below particle scale and distinct multi-scale heterogeneity are observed. The simulations demonstrate that LBM-IMB-DEM modeling with parallel GPU computing may suggest a promising approach for exploring the fundamental mechanisms and constitutive laws of complex gas-solid flow, which are, so far, poorly understood in both experiments and theoretical studies. (C) 2011 Elsevier Ltd. All rights reserved. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Engineering, Chemical |
研究领域[WOS] | Engineering |
关键词[WOS] | PARTICLE-FLUID SYSTEMS ; DIRECT NUMERICAL-SIMULATION ; SUSPENSIONS ; TURBULENCE ; EQUATION ; MODEL |
收录类别 | SCI |
原文出处 | |
语种 | 英语 |
WOS记录号 | WOS:000300235600042 |
公开日期 | 2013-11-28 |
版本 | 出版稿 |
源URL | [http://ir.ipe.ac.cn/handle/122111/6382] ![]() |
专题 | 过程工程研究所_研究所(批量导入) |
作者单位 | 1.Chinese Acad Sci, EMMS Grp, State Key Lab Multiphase Complex Syst, IPE, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Xiong, Qingang,Li, Bo,Zhou, Guofeng,et al. Large-scale DNS of gas-solid flows on Mole-8.5[J]. CHEMICAL ENGINEERING SCIENCE,2012,71(71):422-430. |
APA | Xiong, Qingang.,Li, Bo.,Zhou, Guofeng.,Fang, Xiaojian.,Xu, Ji.,...&Li, Jinghai.(2012).Large-scale DNS of gas-solid flows on Mole-8.5.CHEMICAL ENGINEERING SCIENCE,71(71),422-430. |
MLA | Xiong, Qingang,et al."Large-scale DNS of gas-solid flows on Mole-8.5".CHEMICAL ENGINEERING SCIENCE 71.71(2012):422-430. |
入库方式: OAI收割
来源:过程工程研究所
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