中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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://WOS:000300235600042
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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