对流项占优问题的MLPG/SUPG方法数值模拟

在计算对流项占优问题时易产生假扩散,本文把流线型迎风格式应用于MLPG方法中可以减少对流项的影响,通过两个典型例子（旋转流场问题和Brezzi问题）验证该格式的精度与有效性,并与文献中的迎风格式的计算结果进行比较,计算结果表明,该方法能有效地克服假扩散现象,有较好的稳定性和较高的计算精度。     

非线性热传导方程MLPG/RBF-FD无网格数值模拟

结合无网格局部彼得洛夫-伽辽金(MLPG)方法和径向基函数有限差分(RBF-FD)无网格方法求解非线性热传导问题.MLPG方法属于弱式无网格方法,具有处理边界条件方便的优点,然而因其要做大量的插值、积分运算而计算效率偏低;RBF-FD无网格方法属于强式无网格方法,直接对微分算子进行数值离散,计算效率高,然而其边界条件的...     

Development of a hybrid model based on mesh and meshfree methods and its application to fluid–elastic structure interaction for free surface waves

In this paper, a hybrid scheme, Fluid–Fluid–Elastic Structure (FFES) model was developed in the time domain to address the wave breaking impact on the structure. The model is developed based on the partitioned approach with different governing equations that describe various regions of the model domain. The fluid–fluid model denotes that two different fluid models were used to describe fluid in the actual physical domain. The method is a physics-based approximation to reduce the computational time, i.e. in the far-field inviscid fluid (fully nonlinear potential flow theory model), and near to the structure, viscous fluid (Navier Stokes model) is used. The coupled model then interacts with the elastic structure (based on Euler–Bernoulli beam theory). The system of equations is strongly coupled both in space and time. The Fluid–Fluid coupling uses an implicit predictor–corrector scheme, and the fluid–structure coupling works based on an iterative scheme. This approach makes the method more robust and for future extension. Three different possibilities for introducing the coupling was identified and implemented. The model was validated against results from the analytical solution and literature. The method proposed is a reliable, robust, and efficient alternative for simulating fluid–structure interaction problems.     

基于无网格局部Petrov-Galerkin(MLPG)法求解任意磁场方向下的定常MHD流动

磁流体流动在现代工业和科研中有着广泛的应用,但磁流体的流动受到磁场的影响,与一般流体区别较大,需要对其进行深入的研究。磁流体的流动受到流体力学流动方程和麦克斯韦方程的共同影响,其精确解在有限条件下才能得到,因此对磁流体的流动进行数值模拟具有重要的意义。本文采用移动最小二乘法计算形函数,利用无网格局部Petrov-Galerkin(MLPG)法得到控制方程的离散形式,在管壁为任意电导率及任意方向外加磁场的条件下,对方形直管道中定常流动的磁流体进行了数值计算。MLPG法的计算是基于节点的,不需要任何网格或单元,是一种真正的无网格方法。计算结果与Scheriff精确解进行了比较,表明该方法适用于中等以下哈特曼数的磁流体流动计算。     

基于转换矩阵的FEM/MLPG耦合算法

首次基于有限元的转换矩阵(TMF)和无网格的转换矩阵(TMM),提出有限单元法(FEM)和无网格局部彼得罗夫-伽辽金法(MLPG)的耦合算法。编制了相应算法的三维程序,计算分析了三维柱体的拉伸和弯曲问题,并将计算结果与ABAQUS软件计算结果以及理论解进行了比较。结果表明,本文给出的耦合算法计算精度高,收敛性好,可以用以模拟裂纹扩展等问题。     

A stabilized MLPG method for steady state incompressible fluid flow simulation

In this paper, the meshless local Petrov–Galerkin (MLPG) method is extended to solve the incompressible fluid flow problems. The streamline upwind Petrov–Galerkin (SUPG) method is applied to overcome oscillations in convection-dominated problems, and the pressure-stabilizing Petrov–Galerkin (PSPG) method is applied to satisfy the so-called Babuška–Brezzi condition. The same stabilization parameter τ(τ_SUPG = τ_PSPG) is used in the present method. The circle domain of support, linear basis, and fourth-order spline weight function are applied to compute the shape function, and Bubnov–Galerkin method is applied to discretize the PDEs. The lid-driven cavity flow, backward facing step flow and natural convection in the square cavity are applied to validate the accuracy and feasibility of the present method. The results show that the stability of the present method is very good and convergent solutions can be obtained at high Reynolds number. The results of the present method are in good agreement with the classical results. It also seems that the present method (which is a truly meshless) is very promising in dealing with the convection- dominated problems.     

MLPG混合配点法在形状优化中的应用研究

建立了无网格MLPG(Meshless Local Petrov-Galerkin)混合配点法求解二维弹性体位移、应力的数学模型,使用罚函数法添加本质边界条件,并将其应用到结构形状优化,结合遗传算法提出了一种新的连续体结构优化设计方法.对于节点支持域半径的选取进行了重点探讨,提出一种动态支持域选择方法,建立了基于MLP...     

The meshless local Petrov-Galerkin method for simulating unsteady incompressible fluid flow

This article presents a numerical algorithm using the Meshless Local Petrov-Galerkin (MLPG) method for the incompressible Navier–Stokes equations. To deal with time derivatives, the forward time differences are employed yielding the Poisson’s equation. The MLPG method with the moving least-square (MLS) approximation for trial function is chosen to solve the Poisson’s equation. In numerical examples, the local symmetric weak form (LSWF) and the local unsymmetric weak form (LUSWF) with a classical Gaussian weight and an improved Gaussian weight on both regular and irregular nodes are demonstrated. It is found that LSWF1 with a classical Gaussian weight order 2 gives the most accurate result.     

无网格MLPG法求解轴对称弹性体扭转问题

应用无网格局部彼得洛夫-伽辽金法(MLPG)研究轴对称弹性体扭转问题,给出了矩阵形式的控制方程,发展了MLPG求解轴对称体弹性扭转问题的数值计算方法。算例分析表明:此方法对求解此类问题具有良好的适应性,数值解能达到理想的计算精度。     

The basis of meshless domain discretization: the meshless local Petrov–Galerkin (MLPG) method

The MLPG method is the general basis for several variations of meshless methods presented in recent literature. The interrelation of the various meshless approaches is presented in this paper. Several variations of the meshless interpolation schemes are reviewed also. Recent developments and applications of the MLPG methods are surveyed. AMS subject classification 65N30