|
|
Reconstructed soil meso-numerical seepage simulation based on quartet structure generation set |
Zhou Xiao, Shen Linfang, Ruan Yongfen, Wang Zhiliang |
Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming, Yunnan 650500, China |
|
|
Abstract Based on quartet structure generation set(QSGS), and according to the soil porosity, reconstruct soil microstructure. By lattice Boltzmann method, use impermeable boundary on left and right, the upper and lower boundaries adopts non-equilibrium extrapolation format, collisions between particles use Bounce-back scheme, and establish saturated soil percolation model, then let a constant flow rate of water penetrate the model. Combined with examples, derive the conversion relationship between macroscopic physical units and lattice units. prepare relevant matlab program, and conduct operational analysis to explore the water seepage variation of micro-soil structure in computer simulations. The results show that: The generating process according to QSGS reconstructed soil is similar to the porous medium in the natural environment, reconstruction of soil traits vary, connectivity and structures similar to the actual soil. Under the premise of good connectivity, the seepage velocity is relative to the porosity. The same soil in the position of the smaller channel seepage water seepage velocity is smaller, and the position of the larger channel seepage water seepage velocity is larger. In the same porosity conditions, the average flow velocity of large particles of soil particles is larger than the small particles of soil particles. and small particles of soil seepage is more stable.
|
Received: 20 October 2014
|
|
|
|
[1]Pilotti M. Generation of realistic porous media by grains sedimentation[J]. Transport in Porous Media, 1998, 33: 257-278.[2]Maiera R S, Kroll D M, Benard R S, et al. Pore-scale simulation of dispersion[J]. Physical Fluids,2000(12):2065-2079.[3]Madadi M, Sahimi M. Lattice Boltzmann simulation of fluid flow in fracture networks with rough, self-affine surfaces[J]. Physical Review E, 2003, 67(2):1-12.[4]Zhang H F, Ge X S, Ye H. Randomly mixed model for predicting the effective thermal conductivity of moist po-rous media[J]. Journal of Physics D:Applied Physics,2006,39:220-226.[5]Wang M, Wang J, Pan N, et al. Mesoscopic predictions of the effective thermal conductivity for microscale random porous media[J]. Physical Review E, 2007, 75(3):036702-036712.[6]何雅玲, 王勇, 李庆. 格子Boltzmann方法的理论及应用[M]. 北京: 科学出版社, 2008.[7]郭照立,郑楚光. 格子Boltzmann方法的原理及应用[M]. 北京: 科学出版社, 2008.[8]Chongxun Pan, Luo L S, Miller C T. An evaluation of lattice Boltzmann schemes for porous medium flow simulation [J]. Computers & Fluids, 2006, 35:898-909.[9]许友生. 一种新的模拟渗流运动的数值方法[J].物理学报,2003,52(3):626-629. Xu Yousheng. A new numerical method for simulating fluid flow through porous media [J]. Chinese Journal of Physics, 2003,52(3):626-629.(in Chinese)[10]王华龙,柴振华,郭照立. 致密多孔介质中气体渗流的格子Boltzmann模拟[J]. 计算物理, 2009, 26(3): 389-395. Wang Hualong, Chai Zhenhua, Guo Zhaoli. Lattice Boltzmann simulation of Gas transfusion in compact porous media[J]. Chinese Journal of Computational Physics, 2009, 26(3): 389-395.(in Chinese)[11]李仁民,刘松玉,方磊,等.采用随机生长四参数生成法构造黏土微观结构[J].浙江大学学报:工学版,2010, 44(10):1897-1901. Li Renmin, Liu Songyu, Fang Lei, et al. Micro-structure of clay generated by quartet structure generation set[J].Journal of Zhejiang University: Engineering Science Edition, 2010,44(10): 1897-1901.(in Chinese)[12]Qian Y H, Humières D D′, Lallemand P. Lattice BGK models for navier-stokes equation[J]. Europhysics Letters, 1992,17(6): 479-484.[13]Guo Z L, Zheng C G, Shi B C. Non-equilibrium extra-polation method for velocity and pressure boundary conditions in the lattice Boltzmann method[J]. Chinese Phys,2002,11(4): 366-374.[14]Zou Q, He X. On pressure and velocity boundary conditions for lattice Boltzmann BGK model[J]. Physics of Fluids,1997,9(6):1591-1598. |
|
|
|