准连续体方法研究进展

准连续体方法是一种将连续介质方法和原子模拟相耦合的多尺度模拟方法。该方法巧妙地将分子静力学与有限元法相结合，在变形梯度较小的规则区域采用代表性原子作为计算点，以此为节点形成有限元网格，其周围其他原子的位置通过插值得到。代表性原子的引入，使系统原子势能的计算大大简化。自适应手段的应用，保证了材料缺陷核心附近原子尺度的细节描述。与其他纳米力学计算方法相比，准连续体方法具有计算精度高，计算规模大等优点。本文主要介绍了准连续体方法的基本原理及发展状况，归纳并总结了这一些优点及今后的发展方向。     

弹性力学的复变量无网格局部 Petrov-Galerkin 法

复变量移动最小二乘法构造形函数, 其优点是采用一维基函数建立二维问题的试函数, 使得试函数中所含的待定系数减少, 从而有效提高计算效率. 文章基于复变量移动最小二乘法和局部Petrov-Galerkin弱形式, 采用罚函数法施加边界条件, 推导相应的离散方程, 提出弹性力学的复变量无网格局部Petrov-Galerkin法. 数值算例验证了该方法的有效性.     

势问题的径向基函数——局部边界积分方程方法

将基于径向基函数构造的具有插值特性的近似函数和局部边界积分方程方法相结合，建立了求解势问题的径向基函数——局部边界积分方程方法，推导了相应离散方程.与其他边界积分方程的无网格方法相比，本文方法具有数值实现过程简单、计算量小、精度高的优点，并可直接施加边界条件.最后通过算例说明了该方法的有效性. 关键词： 径向基函数 无网格方法 局部边界积分方程 势问题     

A complex variable meshless local Petrov-Galerkin method for transient heat conduction problems

On the basis of the complex variable moving least-square （CVMLS） approximation, a complex variable meshless local Petrov-Galerkin （CVMLPG） method is presented for transient heat conduction problems. The method is developed based on the CVMLS approximation for constructing shape functions at scattered points, and the Heaviside step function is used as a test function in each sub-domain to avoid the need for a domain integral in symmetric weak form. In the construction of the well-performed shape function, the trial function of a two-dimensional （2D） problem is formed with a one-dimensional （1D） basis function, thus improving computational efficiency. The numerical results are compared with the exact solutions of the problems and the finite element method （FEM）. This comparison illustrates the accuracy as well as the capability of the CVMLPG method.     

位势问题改进的无网格局部Petrov-Galerkin法

将滑动Kriging插值法与无网格局部Petrov-Galerkin法相结合,采用Heaviside分段函数作为局部弱形式的权函数,提出改进的无网格局部Petrov-Galerkin法,进一步将这种无网格法应用于位势问题,并推导相应的离散方程.因为滑动Kriging插值法构造的形函数满足Kronecker函数性质,所以本文建立的改进的无网格局部Petrov-Galerkin法可以像有限元法一样直接施加边界条件;由于采用Heaviside分段函数作为局部弱形式的权函数,因此在计算刚度矩阵时只涉及边界积分,而没有区域积分.此外,还对本方法中一些重要参数的选取进行了研究.数值算例表明,本文建立的改进的无网格局部Petrov-Galerkin法具有数值实现简单、计算量小以及方便施加边界条件等优点.     

The complex variable meshless local Petrov—Galerkin method of solving two-dimensional potential problems

Based on the complex variable moving least-square(CVMLS) approximation and a local symmetric weak form,the complex variable meshless local Petrov-Galerkin(CVMLPG) method of solving two-dimensional potential problems is presented in this paper.In the present formulation,the trial function of a two-dimensional problem is formed with a one-dimensional basis function.The number of unknown coefficients in the trial function of the CVMLS approximation is less than that in the trial function of the moving least-square(MLS) approximation.The essential boundary conditions are imposed by the penalty method.The main advantage of this approach over the conventional meshless local Petrov-Galerkin(MLPG) method is its computational efficiency.Several numerical examples are presented to illustrate the implementation and performance of the present CVMLPG method.     

A moving Kriging interpolation-based boundary node method for two-dimensional potential problems

In this paper,a meshfree boundary integral equation(BIE) method,called the moving Kriging interpolationbased boundary node method(MKIBNM),is developed for solving two-dimensional potential problems.This study combines the BIE method with the moving Kriging interpolation to present a boundary-type meshfree method,and the corresponding formulae of the MKIBNM are derived.In the present method,the moving Kriging interpolation is applied instead of the traditional moving least-square approximation to overcome Kronecker’s delta property,then the boundary conditions can be imposed directly and easily.To verify the accuracy and stability of the present formulation,three selected numerical examples are presented to demonstrate the efficiency of MKIBNM numerically.