نتایج جستجو برای: moving least squares mls

تعداد نتایج: 496082  

2008
G. R. Liu Y. T. Gu

(2000) Meshless local Petrov–Galerkin (MLPG) method in combination with finite element and boundary element approaches. Abstract The Meshless Local Petrov-Galerkin (MLPG) method is an effective truly meshless method for solving partial differential equations using Moving Least Squares (MLS) interpolants. It is, however, computationally expensive for some problems. A coupled MLPG/Finite Element ...

2005
X. L. Chen Z. Y. Zhao K. M. Liew

This paper presents the buckling analysis of the piezoelectric functionally graded material (FGM) rectangular plates subjected to non-uniformly distributed loads, heat and voltage based on the mesh-free method. A two-step solution procedure is implemented. The first step is to determine the pre-buckling stresses of the plates subjected to non-uniformly distributed loads. The second step is to s...

2010
Hema P Menon

A drawback of the non-rigid registration is its unpredictable nature of the deformation on the target image. Mapping every point on images can cause deformations even to regions, which are expected to remain rigid. A non-rigid registration is desirable that produces only local deformations where needed, while still preserving the overall rigidity. This work focuses on one such method called the...

Journal: :international journal of civil engineering 0
mohammad naisipour mohammad hadi afshar behrooz hassani ali rahmani firoozjaee

a meshless approach, collocation discrete least square (cdls) method, is extended in this paper, for solvingelasticity problems. in the present cdls method, the problem domain is discretized by distributed field nodes. the fieldnodes are used to construct the trial functions. the moving least-squares interpolant is employed to construct the trialfunctions. some collocation points that are indep...

Journal: :Cmes-computer Modeling in Engineering & Sciences 2024

In the context of global mean square error concerning number random variables in representation, Karhunen–Loève (KL) expansion is optimal series method for field discretization. The computational efficiency and accuracy KL are contingent upon accurate resolution Fredholm integral eigenvalue problem (IEVP). paper proposes an interpolation based on different basis functions such as moving least s...

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