DNS OF A FULLY DEVELOPED TURBULENT POROUS CHANNEL FLOW BY THE LATTICE BOLTZMANN METHOD

Y. Kuwata, K. Suga
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This low wavenumber large-scale motions are considered to stem from the Kelvin-Helmholtz instability due to the weakened wall-blocking effect and the strong shear over the porous layer. BACKGROUND Due to its high heat and mass transfer efficiency, porous structures commonly play important role in industrial fields and thus understanding and modelling the flows over porous media are industrially crucial issues. To understand the turbulent flow physics over permeable porous surfaces, partially direct numerical simulations (DNSs) of turbulent channel flows over porous layers were performed by Breugem et al.(2006). Although they solved the turbulent flows directly in the clear channel region, they applied the volume averaged momentum equation to the porous regions. Since their simulations did not take account of the influence of not only the porous structure but also the dispersion, the predicted turbulence phenomena around and inside the porous layers might not be exactly correct. Recently, Chandesris et al. (2013) performed a full DNS study for a low Prandtl number (Pr=0.1) heat transfer field with the same flow conditions as those of Breugem et al. (2006). Although they resolved the model porous structure, it was an unrealistically revitating structure. Since their focus was on heat transfer, they did not provide further information on the turbulent flow physics than that by Breugem et al. (2006). The turbulent porous channel flows were also investigated experimentally by Suga et al.(2010 and 2011), however, due to the difficulty of the measurements inside the porous media, the measurements were limited to the clear channel regions. Accordingly, as far as the authors know, there is no study on the precise turbulence structure in the interface region over the porous layer. Therefore in this study, a DNS study of a turbulent channel flow over a porous layer is performed. To directly treat the porous structure, the D3Q27 multiple relaxation time lattice Boltzmann method of Suga et al.(2015) is employed. NUMERICAL SCHEME The present DNS is performed by the D3Q27 multiple relaxation time lattice Boltzmann method (MRT-LBM) (Suga et al.,2015) whose time evolution equation is | f (x+ξ α δ t, t +δ t)⟩− | f (x, t)⟩ = −M−1Ŝ[| m(x, t)⟩− | meq(x, t)⟩] , (1) where the notations such as |f ⟩ is |f ⟩ = ( f0, f1, · · · , f26) , δ t is the time step andξ α is the discrete velocity. The transformation matrixM is a 27× 27 matrix which linearly transforms the distribution functions to the moments as|m⟩ = M |f ⟩. The collision matrixŜ is diagonal: Ŝ≡ diag(0,0,0,0,s4,s5,s5,s7,s7,s7,s10,s10,s10,s13, s13,s13,s16,s17,s18,s20,s20,s20,s23,s23,s23,s26). (2) The relaxation parameters presently applied are from Suga et al.(2015) as s4 = 1.54, s5 = s7, s10 = 1.5, s13 = 1.83, s16 = 1.4, s17 = 1.61, s18 = s20 = 1.98, s23 = s26 = 1.74. (3) The kinematic fluid viscosityν is related to the relaxation parameters5, ν = cs ( 1 s5 − 1 2 ) δ t, (4) wherecs/c = 1/ √ 3 andc = ∆/δ t where∆ is the lattice spacing. For the other details, see Suga et al.(2015). To reduce the computational costs, the multi-block method proposed by Dupuis et al. (2003) is modified and employed in this study. To take account of the continuity of 1 June 30 July 3, 2015 Melbourne, Australia 9 2B-4","PeriodicalId":196124,"journal":{"name":"Proceeding of Ninth International Symposium on Turbulence and Shear Flow Phenomena","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding of Ninth International Symposium on Turbulence and Shear Flow Phenomena","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1615/tsfp9.310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

To understand the turbulent flow physics over permeable porous surfaces, a direct numerical simulation (DNS) of a turbulent channel flow over a porous layer is performed by the D3Q27 multiple-relaxation time lattice Boltzmann method. The bulk mean Reynolds number is 3000 and the presently considered porous layer, whose porosity is 0.71, consists of staggered cube arrays. Using the DNS results, the phenomenological discussions through the twopoint autocorrelation, one-dimensional energy spectrum and proper orthogonal decomposition (POD) analyses are carried out. The reason why the streaky structure over the porous layer becomes shorter, wider and obscurer than that near the solid wall are discussed. It is found that the low wavenumber turbulence is enhanced over the porous layer. This low wavenumber large-scale motions are considered to stem from the Kelvin-Helmholtz instability due to the weakened wall-blocking effect and the strong shear over the porous layer. BACKGROUND Due to its high heat and mass transfer efficiency, porous structures commonly play important role in industrial fields and thus understanding and modelling the flows over porous media are industrially crucial issues. To understand the turbulent flow physics over permeable porous surfaces, partially direct numerical simulations (DNSs) of turbulent channel flows over porous layers were performed by Breugem et al.(2006). Although they solved the turbulent flows directly in the clear channel region, they applied the volume averaged momentum equation to the porous regions. Since their simulations did not take account of the influence of not only the porous structure but also the dispersion, the predicted turbulence phenomena around and inside the porous layers might not be exactly correct. Recently, Chandesris et al. (2013) performed a full DNS study for a low Prandtl number (Pr=0.1) heat transfer field with the same flow conditions as those of Breugem et al. (2006). Although they resolved the model porous structure, it was an unrealistically revitating structure. Since their focus was on heat transfer, they did not provide further information on the turbulent flow physics than that by Breugem et al. (2006). The turbulent porous channel flows were also investigated experimentally by Suga et al.(2010 and 2011), however, due to the difficulty of the measurements inside the porous media, the measurements were limited to the clear channel regions. Accordingly, as far as the authors know, there is no study on the precise turbulence structure in the interface region over the porous layer. Therefore in this study, a DNS study of a turbulent channel flow over a porous layer is performed. To directly treat the porous structure, the D3Q27 multiple relaxation time lattice Boltzmann method of Suga et al.(2015) is employed. NUMERICAL SCHEME The present DNS is performed by the D3Q27 multiple relaxation time lattice Boltzmann method (MRT-LBM) (Suga et al.,2015) whose time evolution equation is | f (x+ξ α δ t, t +δ t)⟩− | f (x, t)⟩ = −M−1Ŝ[| m(x, t)⟩− | meq(x, t)⟩] , (1) where the notations such as |f ⟩ is |f ⟩ = ( f0, f1, · · · , f26) , δ t is the time step andξ α is the discrete velocity. The transformation matrixM is a 27× 27 matrix which linearly transforms the distribution functions to the moments as|m⟩ = M |f ⟩. The collision matrixŜ is diagonal: Ŝ≡ diag(0,0,0,0,s4,s5,s5,s7,s7,s7,s10,s10,s10,s13, s13,s13,s16,s17,s18,s20,s20,s20,s23,s23,s23,s26). (2) The relaxation parameters presently applied are from Suga et al.(2015) as s4 = 1.54, s5 = s7, s10 = 1.5, s13 = 1.83, s16 = 1.4, s17 = 1.61, s18 = s20 = 1.98, s23 = s26 = 1.74. (3) The kinematic fluid viscosityν is related to the relaxation parameters5, ν = cs ( 1 s5 − 1 2 ) δ t, (4) wherecs/c = 1/ √ 3 andc = ∆/δ t where∆ is the lattice spacing. For the other details, see Suga et al.(2015). To reduce the computational costs, the multi-block method proposed by Dupuis et al. (2003) is modified and employed in this study. To take account of the continuity of 1 June 30 July 3, 2015 Melbourne, Australia 9 2B-4
用晶格玻尔兹曼方法计算完全发育的湍流多孔通道流动的DNS
为了理解可渗透多孔表面上的湍流物理,采用D3Q27多重松弛时间晶格玻尔兹曼方法对多孔层上的湍流通道流动进行了直接数值模拟。体积平均雷诺数为3000,目前考虑的多孔层孔隙率为0.71,由交错的立方体阵列组成。利用DNS结果,通过两点自相关、一维能谱和适当正交分解(POD)分析进行了现象学讨论。讨论了多孔层上的条纹结构比固体壁附近的条纹结构更短、更宽、更模糊的原因。结果表明,低波数湍流在多孔层上得到增强。这种低波数大尺度运动被认为是由较弱的壁阻塞效应和多孔层上的强剪切引起的开尔文-亥姆霍兹不稳定性引起的。多孔结构由于具有较高的传热传质效率,在工业领域中发挥着重要的作用,因此理解和模拟多孔介质上的流动是工业上的关键问题。为了理解可渗透多孔表面上的湍流物理,Breugem等人(2006)对多孔层上的湍流通道进行了部分直接数值模拟(DNSs)。虽然他们直接解决了透明通道区域的湍流,但他们将体积平均动量方程应用于多孔区域。由于他们的模拟不仅没有考虑多孔结构的影响,而且没有考虑弥散的影响,因此预测的多孔层周围和内部的湍流现象可能并不完全正确。最近,Chandesris et al.(2013)在与Breugem et al.(2006)相同的流动条件下,对低普朗特数(Pr=0.1)传热场进行了完整的DNS研究。虽然他们解决了模型多孔结构,但这是一个不切实际的再生结构。由于他们的研究重点是热传递,他们没有提供比Breugem等人(2006)更深入的紊流物理信息。Suga等人(2010年和2011年)也对湍流多孔通道流动进行了实验研究,但由于在多孔介质内部测量的困难,测量仅限于透明通道区域。因此,据作者所知,目前还没有对多孔层上界面区域精确湍流结构的研究。因此,在本研究中,对多孔层上的湍流通道流动进行了DNS研究。为了直接处理多孔结构,采用Suga et al.(2015)的D3Q27多重松弛时间晶格玻尔兹曼方法。目前的DNS由D3Q27多重松弛时间晶格玻尔兹曼方法(MRT-LBM) (Suga等人,2015)执行,其时间演化方程为|f (x+ξ α δ t, t +δ t)⟩- |f (x, t)⟩= - M - 1Ŝ[| M (x, t)⟩- | meq(x, t)⟩],(1)其中的符号如|f⟩是|f⟩= (f0, f1,···,f26), δ t是时间步长,ξ α是离散速度。变换矩阵m是一个27x27矩阵,它将分布函数线性地变换为像|m⟩= m |f⟩这样的矩。碰撞matrixŜ是对角线:Ŝ≡diag(0,0,0,0,s4,s5,s5,s7,s7,s7,s10,s10, s13,s13, s13,s16,s17,s18,s20,s20,s20,s23,s23,s23,s26)。(2)目前应用的松弛参数来自Suga等人(2015),为s4 = 1.54, s5 = s7, s10 = 1.5, s13 = 1.83, s16 = 1.4, s17 = 1.61, s18 = s20 = 1.98, s23 = s26 = 1.74。(3)运动流体粘度ν与松弛参数有关,ν = cs (1 s5−1 2)δ t,(4)其中,s/c = 1/√3,c =∆/δ t,其中∆为晶格间距。其他细节请参见Suga et al.(2015)。为了减少计算成本,本研究对Dupuis等(2003)提出的多块方法进行了修改并采用。考虑到2015年6月1日至7月3日澳大利亚墨尔本9 2B-4的连续性
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