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Large-scale DNS of gas-solid flows on Mole-8.5
Alternative TitleChem. Eng. Sci.
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; Li, Jinghai1
2012-03-26
Source PublicationCHEMICAL ENGINEERING SCIENCE
ISSN0009-2509
Volume71Issue:71Pages:422-430
AbstractDirect 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.; 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.
KeywordDirect Numerical Simulation Multiphase Flow Gpu Suspension Dynamic Simulation Scale-up
SubtypeArticle
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.ces.2011.10.059
URL查看原文
Indexed BySCI
Language英语
WOS KeywordPARTICLE-FLUID SYSTEMS ; DIRECT NUMERICAL-SIMULATION ; SUSPENSIONS ; TURBULENCE ; EQUATION ; MODEL
WOS Research AreaEngineering
WOS SubjectEngineering, Chemical
WOS IDWOS:000300235600042
Citation statistics
Cited Times:82[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Version出版稿
Identifierhttp://ir.ipe.ac.cn/handle/122111/6382
Collection研究所(批量导入)
Affiliation1.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
Recommended Citation
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.
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