
1. 中国科学院 过程工程研究所 多相复杂系统国家重点实验室,北京,100190
2. 中国科学院大学 化学工程学院,北京,100049
3. 沈阳化工大学 化学工程学院,沈阳,110142
Published:2023
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付少童, 贾龙菲, 王利民. 一种改进的浸入运动边界算法[J]. 空气动力学学报, 2023, 41(6): 109−117.
FU Shaotong, JIA Longfei, WANG Limin. An improved algorithm for immersed moving boundary[J]. 2023, 41(6): 109-117.
付少童, 贾龙菲, 王利民. 一种改进的浸入运动边界算法[J]. 空气动力学学报, 2023, 41(6): 109−117. DOI: 10.7638/kqdlxxb-2022.0067
FU Shaotong, JIA Longfei, WANG Limin. An improved algorithm for immersed moving boundary[J]. 2023, 41(6): 109-117. DOI: 10.7638/kqdlxxb-2022.0067.
浸入运动边界是数值处理流固耦合作用的主要方法之一,其原始权重函数根据经验确定且形式固定,难以准确地定量描述复杂的流固现象。本文提出了一种新的权重函数对格子Boltzmann方法框架下的浸入运动边界进行修正,通过假定零固含率处的权重因子多阶导数为0,引入可调参数
b
增强权重函数对固含率的关联,实现了对固体边界渗透性能的改进。对静止圆柱绕流、Taylor-Couette流和振动圆柱绕流3个算例开展数值实验,结果表明:随着雷诺数的增加,原始权重函数预测的升阻力系数均高于文献结果,严重低估了边界处流体组分的作用;当新权重函数中的参数
b
为3时,改进的浸入运动边界效果最佳;新权重函数增强了固体边界的渗透率,提高了流场的预测精度,使平均误差降低了38.5%;最后,运用新权重函数成功地复现了振动圆柱绕流的锁频现象,表明改进的浸入运动边界在处理复杂的流固耦合问题方面具有广阔的应用前景。
Immersed moving boundary is one of the important numerical methods for modeling fluid-structure interaction. However
its original weighting function to determine fluid-solid interaction is empirical and its form is fixed
which is difficult to predict complex fluid-structure phenomena accurately and quantitatively. In this study
a new weighting function is proposed to improve the immersed moving boundary in the framework of the lattice Boltzmann method. By assuming that the multi-order derivative of the weighting factor at zero solid volume fraction is 0
an adjustable parameter
b
is introduced to enhance the correlation between the weighting
function and the solid volume fraction
which improves the permeability performance of the solid boundary. The new weighting function is tested against three benchmark cases namely
flow around a stationary cylinder
Taylor-Couette flow
and flow around an oscillating cylinder. Numerical results show that
with the increase of the Reynolds number
the lift-drag coefficients predicted by the original weighting function are higher than the literature results
which seriously underestimates the effect of fluid components at the boundary. In addition
when the parameter
b
in the new weighting function is 3
the effect of the improved immersed moving boundary is optimal. Furthermore
the new weighting function enhances the permeability of the solid boundary
improves the prediction accuracy of the fluid field
and reduces the averaged error up to 38.5%. Finally
the frequency-locking phenomenon encountered in flow around an oscillating cylinder is successfully reproduced by using the new weighting function
demonstrating the improved immersed moving boundary is promising in dealing with complex fluid-structure interaction problems.
HOU G N, WANG J, LAYTON A. Numerical methods for fluid-structure interaction—A review[J]. Communications in Computational Physics, 2012, 12(2): 337-377. DOI:10.4208/cicp.291210.290411s[LinkOut]
QIAN Y H, D'HUMIÈRES D, LALLEMAND P. Lattice BGK models for navier-stokes equation[J]. Europhysics Letters (EPL), 1992, 17(6): 479-484. DOI:10.1209/0295-5075/17/6/001[LinkOut]
LADD A J C. Numerical simulations of particulate suspensions via a discretized boltzmann equation. part 1. theoretical foundation[J]. Journal of Fluid Mechanics, 1994, 271: 285-309. DOI:10.1017/s0022112094001771[LinkOut]
AIDUN C K, LU Y N, DING E -JIANG. Direct analysis of particulate suspensions with inertia using the discrete Boltzmann equation[J]. Journal of Fluid Mechanics, 1998, 373: 287-311. DOI:10.1017/s0022112098002493[LinkOut]
PESKIN C S. Numerical analysis of blood flow in the heart[J]. Journal of Computational Physics, 1977, 25(3): 220-252. DOI:10.1016/0021-9991(77)90100-0[LinkOut]
NOBLE D R, TORCZYNSKI J R. A lattice-boltzmann method for partially saturated computational cells[J]. International Journal of Modern Physics C, 1998, 9(8): 1189-1201. DOI:10.1142/s0129183198001084[LinkOut]
COOK B K, NOBLE D R, WILLIAMS J R. A direct simulation method for particle-fluid systems[J]. Engineering Computations, 2004, 21(2/3/4): 151-168. DOI:10.1108/02644400410519721[LinkOut]
CHEN L, YU Y, LU J H, et al. A comparative study of lattice Boltzmann methods using bounce-back schemes and immersed boundary ones for flow acoustic problems[J]. International Journal for Numerical Methods in Fluids, 2014, 74(6): 439-467. DOI:10.1002/fld.3858[LinkOut]
FENG Y T, HAN K, OWEN D R J. Coupled lattice Boltzmann method and discrete element modelling of particle transport in turbulent fluid flows: computational issues[J]. International Journal for Numerical Methods in Engineering, 2007, 72(9): 1111-1134. DOI:10.1002/nme.2114[LinkOut]
WANG L M, ZHOU G F, WANG X W, et al. Direct numerical simulation of particle-fluid systems by combining time-driven hard-sphere model and lattice Boltzmann method[J]. Particuology, 2010, 8(4): 379-382. DOI:10.1016/j.partic.2010.07.003[LinkOut]
ZHOU K, HOU J, SUN Q C, et al. An efficient LBM-DEM simulation method for suspensions of deformable preformed particle gels[J]. Chemical Engineering Science, 2017, 167: 288-296. DOI:10.1016/j.ces.2017.04.026[LinkOut]
LIU W W, WU C Y. Migration and agglomeration of adhesive microparticle suspensions in a pressure-driven duct flow[J]. AIChE Journal, 2020, 66(6).doi: 10.1002/aic.16974
WANG M, FENG Y T, WANG C Y. Numerical investigation of initiation and propagation of hydraulic fracture using the coupled Bonded Particle-Lattice Boltzmann Method[J]. Computers Structures, 2017, 181: 32-40. DOI:10.1016/j.compstruc.2016.02.014[LinkOut]
XIONG Q G, LI B, ZHOU G F, et al. Large-scale DNS of gas-solid flows on Mole-8.5[J]. Chemical Engineering Science, 2012, 71: 422-430. DOI:10.1016/j.ces.2011.10.059[LinkOut]
ZHOU G F, XIONG Q G, WANG L M, et al. Structure-dependent drag in gas-solid flows studied with direct numerical simulation[J]. Chemical Engineering Science, 2014, 116: 9-22. DOI:10.1016/j.ces.2014.04.025[LinkOut]
LIU X W, GE W, WANG L M. Scale and structure dependent drag in gas–solid flows[J]. AIChE Journal, 2020, 66(4). DOI:10.1002/aic.16883[LinkOut]
LIU X W, WANG L M, GE W. Meso-scale statistical properties of gas-solid flow-a direct numerical simulation (DNS) study[J]. AIChE Journal, 2017, 63(1): 3-14. DOI:10.1002/aic.15489[LinkOut]
STRACK O E, COOK B K. Three-dimensional immersed boundary conditions for moving solids in the lattice-Boltzmann method[J]. International Journal for Numerical Methods in Fluids, 2007, 55(2): 103-125. DOI:10.1002/fld.1437[LinkOut]
HE X Y, ZOU Q S, LUO L S, et al. Analytic solutions of simple flows and analysis of nonslip boundary conditions for the lattice Boltzmann BGK model[J]. Journal of Statistical Physics, 1997, 87(1-2): 115-136. DOI:10.1007/BF02181482[LinkOut]
WANG D, LEONARDI C R, AMINOSSADATI S M. Improved coupling of time integration and hydrodynamic interaction in particle suspensions using the lattice Boltzmann and discrete element methods[J]. Computers Mathematics With Applications, 2018, 75(7): 2593-2606. DOI:10.1016/j.camwa.2018.01.002[LinkOut]
GINZBURG I, VERHAEGHE F, D'HUMIÈRES D. Two-relaxation-time Lattice Boltzmann scheme: about parametrization, velocity, pressure and mixed boundary conditions[J]. Communications in Computational Physics, 2008, 3(2): 427-478
ZOU Q S, HE X Y. On pressure and velocity boundary conditions for the lattice Boltzmann BGK model[J]. Physics of Fluids, 1997, 9(6): 1591-1598. DOI:10.1063/1.869307[LinkOut]
TRITTON D J. Experiments on the flow past a circular cylinder at low Reynolds numbers[J]. Journal of Fluid Mechanics, 1959, 6(4): 547-567. DOI:10.1017/s0022112059000829[LinkOut]
CHOI J I, OBEROI R C, EDWARDS J R, et al. An immersed boundary method for complex incompressible flows[J]. Journal of Computational Physics, 2007, 224(2): 757-784. DOI:10.1016/j.jcp.2006.10.032[LinkOut]
WANG K. Simulation of drag force for irregular particle and multi-particles using the lattice Boltzmann method[D]. Wuhan: Huazhong University of Science and Technology, 2015 (in Chinese) .
BREHM C, BARAD M F, HADER C. A high-order immersed interface method for compressible flows[C]// 7th AIAA Theoretical Fluid Mechanics Conference, Atlanta, GA. Reston, Virginia: AIAA, 2014: 2093. doi: 10.2514/6.2014-2093
KOOPMANN G H. The vortex wakes of vibrating cylinders at low Reynolds numbers[J]. Journal of Fluid Mechanics, 1967, 28(3): 501-512. DOI:10.1017/s0022112067002253[LinkOut]
HAUSSMANN M, HAFEN N, RAICHLE F, et al. Galilean invariance study on different lattice Boltzmann fluid-solid interface approaches for vortex-induced vibrations[J]. Computers Mathematics With Applications, 2020, 80(5): 671-691. DOI:10.1016/j.camwa.2020.04.022[LinkOut]
PLACZEK A, SIGRIST J F, HAMDOUNI A. Numerical simulation of an oscillating cylinder in a cross-flow at low Reynolds number: forced and free oscillations[J]. Computers Fluids, 2009, 38(1): 80-100. DOI:10.1016/j.compfluid.2008.01.007[LinkOut]
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