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Element‐free Galerkin methods

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TLDR
In this article, an element-free Galerkin method which is applicable to arbitrary shapes but requires only nodal data is applied to elasticity and heat conduction problems, where moving least-squares interpolants are used to construct the trial and test functions for the variational principle.
Abstract
An element-free Galerkin method which is applicable to arbitrary shapes but requires only nodal data is applied to elasticity and heat conduction problems. In this method, moving least-squares interpolants are used to construct the trial and test functions for the variational principle (weak form); the dependent variable and its gradient are continuous in the entire domain. In contrast to an earlier formulation by Nayroles and coworkers, certain key differences are introduced in the implementation to increase its accuracy. The numerical examples in this paper show that with these modifications, the method does not exhibit any volumetric locking, the rate of convergence can exceed that of finite elements significantly and a high resolution of localized steep gradients can be achieved. The moving least-squares interpolants and the choices of the weight function are also discussed in this paper.

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Citations
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Nodal integration of the element-free Galerkin method

TL;DR: In this paper, it is shown that nodal integration, like SPH, suffers from spurious singular modes and is treated by the addition to the potential energy functional of a stabilization term which contains the square of the residual of the equilibrium equation.
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A local radial point interpolation method (lrpim) for free vibration analyses of 2-d solids

TL;DR: In this article, a local radial point interpolation method (LRPIM) is presented to deal with boundary value problems for free vibration analyses of two-dimensional solids, where local weak forms are developed using weighted residual method locally from the partial differential equation of free vibration.
Journal ArticleDOI

Fracture and crack growth by element free Galerkin methods

TL;DR: In this paper, the authors used the element free Galerkin (EFG) method for solving partial differential equations that require only nodal data and a description of the geometry; no element connectivity data are needed.
Journal ArticleDOI

Local radial basis function-based differential quadrature method and its application to solve two-dimensional incompressible Navier–Stokes equations

TL;DR: In this article, a local radial basis function-based differential quadrature (LRQ) method is proposed, which discretizes any derivative at a knot by a weighted linear sum of functional values at its neighbouring knots, which may be distributed randomly.
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A local boundary integral equation (LBIE) method in computational mechanics, and a meshless discretization approach

TL;DR: In this paper, a meshless Galerkin finite element method (GFEM) based on Local Boundary Integral Equation (LBIE) has been proposed, which is quite general and easily applicable to non-homogeneous problems.
References
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Journal ArticleDOI

Surfaces generated by moving least squares methods

TL;DR: In this article, an analysis of moving least squares (m.l.s.) methods for smoothing and interpolating scattered data is presented, in particular theorems concerning the smoothness of interpolants and the description of m. l.s. processes as projection methods.
Journal ArticleDOI

Generalizing the finite element method: Diffuse approximation and diffuse elements

TL;DR: The diffuse element method (DEM) as discussed by the authors is a generalization of the finite element approximation (FEM) method, which is used for generating smooth approximations of functions known at given sets of points and for accurately estimating their derivatives.
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