arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1708.06993physics.flu-dyn
收藏

有壁区域的光滑耗散粒子动力学方法

A smoothed dissipative particle dynamics methodology for wall-bounded domains

Jun Yang

摘要:

本文提出了一种光滑耗散粒子动力学与动态虚拟粒子分配方法(SDPD-DV)的数学和计算方法,用于壁面区域介观流体的建模和模拟。SDPD-DV方法由流体粒子、边界粒子和在固体边界附近动态分配的虚拟粒子实现。SDPD-DV中的物理域包含外部和内部固体边界、周期性入口和出口以及流体区域。该域的固体边界用边界粒子表示,这些边界粒子在初始化时具有指定的位置、壁速度和温度。流体域被离散化,流体粒子被放置在全局索引中。最近邻粒子搜索的算法是基于链接单元和Verlet列表方法的组合,并利用大的矩形单元的计算效率。在固体边界附近的流体颗粒的密度模型包括来自其截断支撑域中的虚拟颗粒的贡献。虚粒子的热力学性质与相应的流体粒子的热力学性质相同。附加验证涉及瞬态、平面、库埃特液态水流的SDPD-DV模拟。顶板在底部固定板处移动,并与底部固定板相距10 - 3 m。数值结果与解析解吻合得很好。附加的SDPD-DV验证是通过模拟体积力驱动的低雷诺数水流过半径为的圆柱体来完成的。并将SDPD-DV方法计算的速度场和压力场与FLUENT软件计算的结果进行了比较。

英文摘要:

This work presents the mathematical and computational aspects of a smooth dissipative particle dynamics with dynamic virtual particle allocation method (SDPD-DV) for modeling and simulation of mesoscopic fluids in wall-bounded domains. The SDPD-DV method is realized with fluid particles, boundary particles and dynamically allocated virtual particles near solid boundaries. The physical domain in SDPD-DV contains external and internal solid boundaries, periodic inlets and outlets, and the fluid region. The solid boundaries of the domain are represented with boundary particles which have an assigned position, wall velocity, and temperature upon initialization. The fluid domain is discretized with fluid particles placed in a global index. The algorithm for nearest neighbor particle search is based on a combination of the linked-cell and Verlet-list approaches and utilizes large rectangular cells for computational efficiency. The density model of a fluid particle in the proximity of a solid boundary includes the contribution from the virtual particles in its truncated support domain. The thermodynamic properties of a virtual particle are identical to those of the corresponding fluid particle. Additional verification involves SDPD-DV simulations of transient, planar, Couette liquid water flow. The top plate is moving at and separated by 10-3 m from the bottom stationary plate. The numerical results are in very good agreement with the analytical solutions. Additional SDPD-DV verification is accomplished with the simulation of a body-force driven, low-Reynolds number flow of water over a cylinder of radius . The SDPD-DV field velocity and pressure are compared with those obtained by FLUENT.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑