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An h-p adaptive method using clouds

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TLDR
It is shown how h, p and h- p adaptivity can be implemented in the h-p cloud method without traditional grid concepts typical of finite element methods.
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This article is published in Computer Methods in Applied Mechanics and Engineering.The article was published on 1996-12-15 and is currently open access. It has received 917 citations till now. The article focuses on the topics: Finite element method & Cloud computing.

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Citations
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The extended/generalized finite element method: An overview of the method and its applications

TL;DR: An overview of the extended/generalized finite element method (GEFM/XFEM) with emphasis on methodological issues is presented in this article, which enables accurate approximation of solutions that involve jumps, kinks, singularities, and other locally non-smooth features within elements.
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A stabilized conforming nodal integration for Galerkin mesh-free methods

TL;DR: In this paper, a strain smoothing stabilization for nodal integration is proposed to eliminate spatial instability in nodal integrations, where an integration constraint is introduced as a necessary condition for a linear exactness in the mesh-free Galerkin approximation.
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Review: Meshless methods: A review and computer implementation aspects

TL;DR: This manuscript is to give a practical overview of meshless methods (for solid mechanics) based on global weak forms through a simple and well-structured MATLAB code, to illustrate the discourse.
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A point interpolation meshless method based on radial basis functions

TL;DR: In this article, a point interpolation meshless method is proposed based on combining radial and polynomial basis functions, which makes the implementation of essential boundary conditions much easier than the meshless methods based on the moving least-squares approximation.
Journal ArticleDOI

Meshfree and particle methods and their applications

TL;DR: A survey of mesh-free and particle methods and their applications in applied mechanics can be found in this article, where the emphasis is placed on simulations of finite deformations, fracture, strain localization of solids; incompressible as well as compressible flows; and applications of multiscale methods and nano-scale mechanics.
References
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Book

Theory of elasticity

TL;DR: The theory of the slipline field is used in this article to solve the problem of stable and non-stressed problems in plane strains in a plane-strain scenario.
Book

A practical guide to splines

Carl de Boor
TL;DR: This book presents those parts of the theory which are especially useful in calculations and stresses the representation of splines as linear combinations of B-splines as well as specific approximation methods, interpolation, smoothing and least-squares approximation, the solution of an ordinary differential equation by collocation, curve fitting, and surface fitting.
Journal ArticleDOI

Element‐free Galerkin methods

TL;DR: 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.
Book

Finite Element Analysis

B. A. Szabó, +1 more
TL;DR: In this article, the authors present a general solution based on the principle of virtual work for two-dimensional linear elasticity problems and their convergence rates in one-dimensional dimensions. But they do not consider the case of three-dimensional LEL problems.
Book

A Posteriori Error Estimation in Finite Element Analysis

TL;DR: In this paper, a summary account of the subject of a posteriori error estimation for finite element approximations of problems in mechanics is presented, focusing on methods for linear elliptic boundary value problems.
Related Papers (5)
Frequently Asked Questions (14)
Q1. What are the contributions in "An h-p adaptive method using clouds" ?

Several computational and mathematical features of the h-p cloud method are demonstrated in this paper. The authors show how h, p and h-p adaptivity can be implemented in the h-p cloud method without traditional grid concepts typical of finite element methods. 

One important situation where the judicious choice of the weighting functions can be beneficial is in the imposition of essential boundary conditions. 

One issue needing further study is the development of precise and computationally efficient numerical integration schemes of the h-p cloud functions. 

They have been categorized under diverse headings such as meshless methods, particle methods, wavelet-type methods, elementfree methods, finite point methods, etc. 

The set of differential equations governing the solutions of this problem are those from threedimensional elasticity specialized for the axisymmetric case [5,21]. 

The fundamental idea in the h-p cloud method is the construction of the family of functions S:’ using the partition of unity YN defined in the previous section. 

Mathematical and numerical analysis performed by Duarte and Oden [lO,ll] have shown that the family of functions 9k=“.p are the best choice for the h-p cloud method. 

The resulting functions, called h-p clouds, retain good properties of the MLSF, such as high regularity and compactness, and linear combinations of these functions can represent polynomials of any degree. 

If the authors set up, = u(x,) VxP E QN, then(2.15)Now suppose that the authors want to impose the following boundary conditionUhP = u - on& (2.16)If (2.15) is true for at least one node xP E r,, the boundary condition (2.16) can be imposed following the approach used in the p and h-p version of the finite element method or in the spectral method. 

This property allows the implementation of p and h-p adaptivity in the h-p clouds context with the same remarkable features of h-p finite element methods but without the burden of a mesh. 

As in the finite element method, the implementation of p adaptivity in the h-p cloud method is easier than the implementation of h or h-p adaptivity. 

In all problems analyzed, the size of the supports of the h-p cloud functions are set by first imposing the condition that every quadrature point belongs to the support of at least one cloud. 

Methods Appl. Mech. Engrg. 139 (1996) 237-262hp cloud: k=O, p=O-4. p- FE: p= I-4 I1 - ‘% .-._. _._.*._._.n hp Clouds -6. t p=o . . .._ ‘Si p version FEM -f3-nu = 0.4999a IIO 100 NFig. 18. 

The following algorithm implements h adaptivity in the h-p cloud method (two-dimensional version):>=765432I0Fig. .5. Discretization used in the step 0 of h, p and h-p adaptation.