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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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Journal ArticleDOI

A smoothed Hermite radial point interpolation method for thin plate analysis

TL;DR: In this paper, a smoothed Hermite radial point interpolation method using gradient smoothing operation is formulated for thin plate analysis, and the radial basis functions augmented with polynomial basis are used to construct the shape functions that have the important Delta function property.
Book ChapterDOI

Origins, milestones and directions of the finite element method— A personal view

TL;DR: In this article, the authors trace the development of the finite element method from its origins in aircraft structural engineering to the present day, where it provides the essential tool for solution of a great variety of problems in engineering and physics.
Journal ArticleDOI

Computational Methods in Engineering: A Variety ofPrimal & Mixed Methods, with Global & LocalInterpolations, for Well-Posed or Ill-Posed BCs

TL;DR: In this paper, a unified analysis of a variety of computational methods, such as meshless local Petrov Galerkin (MLPG), Trefftz methods, and Method of Fundamental Solutions (MFS), for solving a 4th order ODE (beam on an elastic foundation) is presented.
Journal ArticleDOI

Mapping Three-Dimensional Stress and Strain Fields within a Soft Hydrogel Using a Fluorescence Microscope

TL;DR: A three- dimensional traction microscopy that is capable of mapping three-dimensional stress and strain within a soft and transparent extracellular matrix using a fluorescence microscope and a simple forward data analysis algorithm is presented.
Journal ArticleDOI

Generalized Finite Element Method for Vector Electromagnetic Problems

TL;DR: This paper proposes a method that may be used to overcome obstacles to extend GFEM to solve vector electromagnetic problems, and demonstrates h and p convergence characteristics of the proposed method for a range of 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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