用晶格玻尔兹曼方法研究螺旋波的产生机制和演化行为

采用五速正方晶格玻尔兹曼模型，由晶格玻尔兹曼方程推导得到了反应扩散方程.分析了Selkov反应扩散系统螺旋波的形成机制.零流边界条件下计算机数值模拟螺旋波的形成和破碎过程，发现Selkov反应扩散系统的失稳属于Doppler失稳.改变参数模拟系统的演化行为，发现不同的参数下系统可能到达三种不同的状态：均匀定态、混沌状态和螺旋波. 关键词： 晶格玻尔兹曼方法 螺旋波 计算机模拟     

Λ超核9Be、6Be和10Be的动力学结构

本文在α集团模型下,利用谐振子基展开和广义Talmi-Moshinsky交换,完成了对Λ超核⁹Be、⁶Be和¹⁰Be能谱的变分计算,借助统一的α-α、Λ-Λ势和修正的Λ-α势,使⁹Be、⁶Be和¹⁰Be能级得到自洽的描述.此外,对上述三个Λ超核的结构和粒子间的关联也作了研究和分析,得到一些有意义的结果.     

用格子BGK模型模拟空腔粘性流

利用13速六方格子BGK模型模拟了空腔边界温度低于空腔内部温度的空腔粘性流。给出了腔中热的输运过程及流场速度、密度和温度宏观分布的合理结果。     

Lattice Boltzmann Simulation of Sedimentation of a Single Charged Elastic Dumbbell in a Newtonian Fluid

Based on the lattice Boltzmann method, the sedimentations of elastic dumbbells with different charges in a Newtonian fluid under the same and different initial conditions are simulated. Due to the polarizing effects, there are Coulomb forces exerted on the charged elastic dumbbells during their sedimentations, which change their original motions significantly. All of the numerical results show that, if the charged elastic dumbbells are released at offset-centreline positions with zero velocity and settle under gravity, they fall down vertically off the centreline and their orientations tend to be the horizontal finally, and the distances apart from the centreline increase with the increasing charges of the elastic dumbbells.     

椭圆柱体在牛顿流体中运动的格子Boltzmann方法模拟

用格子Boltzmann方法建立了椭圆柱体的二维动力学模型，利用所建立的模型，数值模拟了 牛顿流体中不同形状的椭圆柱体在相同初始条件下的运动和同一椭圆柱体在不同初始条件下 的运动，并通过比较相同条件下圆柱体的运动，讨论了椭圆柱体二维运动的特征，得到了一 些有意义的结果. 关键词： 格子Boltzmann方法 椭圆柱体 牛顿流体     

多层GaAlInP半导体发光材料的双晶衍射分析与拟合

应用双晶衍射仪对MOCVD外延生长所得到的一个GaAlInP双异质结(DH)的单晶多层结构进行测试与分析。应用双晶衍射的动力学理论模拟此样品的摇摆曲线，并结合界面的融合、晶格崎变与缺陷的散射来解释测试结果。对衍射谱的展宽提供了合理的解释，比较肯定地确定了此样品的结构与晶体质量。涉及缺陷对衍射FWHM的展宽的解释与关于缺陷的半动力学衍射理论相比，简单明了，实用于实际的生产检测。并根据分析结论对晶体质量的改进提供技术方案，改进了晶体质量。     

研究热流体的13速格子Bhatnagar-Gross-Krook模型

采用13速六方格子BhatnagarGrossKrook模型研究热流体力学.在根据Fourier热导定律确定局域平衡分布函数的系数时,可引入参数k,使热导系数λ=(2ρ+9k)(τ-12),切粘滞系数与热导系数之比的Prandtl数不再局限于常数1/2,从而扩大了模型的应用范围该模型可用于高雷诺数的热流体的模拟. 关键词：     

Lattice Boltzmann simulation of fluid flows in two-dimensional channel with complex geometries

Boundary conditions (BCs) play an essential role in lattice Boltzmann (LB) simulations. This paper investigates several most commonly applied BCs by evaluating the relative L₂-norm errors of the LB simulations for two-dimensional (2-D) Poiseuille flow. It is found that the relative L₂-norm error resulting from FHML's BC is smaller than that from other BCs as a whole. Then, based on the FHML's BC, it formulates an LB model for simulating fluid flows in 2-D channel with complex geometries. Afterwards, the flows between two inclined plates, in a pulmonary blood vessel and in a blood vessel with local expansion region, are simulated. The numerical results are in good agreement with the analytical predictions and clearly show that the model is effective. It is expected that the model can be extended to simulate some real biologic flows, such as blood flows in arteries, vessels with stenosises, aneurysms and bifurcations, etc.     

Lattice Boltzmann Simulations of Particle-Particle Interaction in Steady Poiseuille Flow

The moving behaviour of two- and three-particles in a pressure-driven flow is studied by the lattice Boltzmann simulation in two dimensions. The time-dependent values, including particles＇ radial positions, translational velocities, angular velocities, and the x-directional distance between the particles are analysed extensively. The effect of flow Reynolds number on particle motion is also investigated numerically. The simulation results show that the leading particle equilibrium position is closer to the channel centre while the trailing particle equilibrium position is closer to the channel wall. If Reynolds number Re is less than 85.30, the larger flow Reynolds number results in the smaller x-directional equilibrium distance, otherwise the x-directional distance increases almost linearly with the increase of time and the particles separate finally. The simulation results are helpful to understand the particle-particle interaction in suspensions with swarms of particles.