Derivation Of Moving Least-Squares Approximation Shape Functions And Its Derivatives Using The Exponential Weight Function

In recent years, meshless methods have gained their popularity, mainly due to the fact that absolutely no elements are required to discretize the problem domain. This is possible due to the nature of the approximation functions used in this method. Approximation functions used to form the shape func...

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Main Author: Effendy Tanojo
Format: Article
Language:English
Published: Petra Christian University 2007-01-01
Series:Civil Engineering Dimension
Subjects:
Online Access:http://puslit2.petra.ac.id/ejournal/index.php/civ/article/view/16586
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spelling doaj-b237ab34f4774ee4a4660a86e528063a2020-11-25T00:19:04ZengPetra Christian UniversityCivil Engineering Dimension1410-95301979-570X2007-01-01911924Derivation Of Moving Least-Squares Approximation Shape Functions And Its Derivatives Using The Exponential Weight FunctionEffendy TanojoIn recent years, meshless methods have gained their popularity, mainly due to the fact that absolutely no elements are required to discretize the problem domain. This is possible due to the nature of the approximation functions used in this method. Approximation functions used to form the shape functions use only the so-called ânodal selectionâ procedure without the need of elements definition. The most popular approximation function used is the moving least-squares shape functions. Published works in meshless methods, however, present only the basic formulas of the moving least-squares shape functions. This paper presents the complete and detailed derivations of not only the moving least-squares shape functions, but also their derivatives (up to the second order derivatives), using the exponential weight function. The derivations are then programmed and verified. http://puslit2.petra.ac.id/ejournal/index.php/civ/article/view/16586meshless methodsmoving least-squaresweight function.
collection DOAJ
language English
format Article
sources DOAJ
author Effendy Tanojo
spellingShingle Effendy Tanojo
Derivation Of Moving Least-Squares Approximation Shape Functions And Its Derivatives Using The Exponential Weight Function
Civil Engineering Dimension
meshless methods
moving least-squares
weight function.
author_facet Effendy Tanojo
author_sort Effendy Tanojo
title Derivation Of Moving Least-Squares Approximation Shape Functions And Its Derivatives Using The Exponential Weight Function
title_short Derivation Of Moving Least-Squares Approximation Shape Functions And Its Derivatives Using The Exponential Weight Function
title_full Derivation Of Moving Least-Squares Approximation Shape Functions And Its Derivatives Using The Exponential Weight Function
title_fullStr Derivation Of Moving Least-Squares Approximation Shape Functions And Its Derivatives Using The Exponential Weight Function
title_full_unstemmed Derivation Of Moving Least-Squares Approximation Shape Functions And Its Derivatives Using The Exponential Weight Function
title_sort derivation of moving least-squares approximation shape functions and its derivatives using the exponential weight function
publisher Petra Christian University
series Civil Engineering Dimension
issn 1410-9530
1979-570X
publishDate 2007-01-01
description In recent years, meshless methods have gained their popularity, mainly due to the fact that absolutely no elements are required to discretize the problem domain. This is possible due to the nature of the approximation functions used in this method. Approximation functions used to form the shape functions use only the so-called ânodal selectionâ procedure without the need of elements definition. The most popular approximation function used is the moving least-squares shape functions. Published works in meshless methods, however, present only the basic formulas of the moving least-squares shape functions. This paper presents the complete and detailed derivations of not only the moving least-squares shape functions, but also their derivatives (up to the second order derivatives), using the exponential weight function. The derivations are then programmed and verified.
topic meshless methods
moving least-squares
weight function.
url http://puslit2.petra.ac.id/ejournal/index.php/civ/article/view/16586
work_keys_str_mv AT effendytanojo derivationofmovingleastsquaresapproximationshapefunctionsanditsderivativesusingtheexponentialweightfunction
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