arrow
Return

Superconvergent gradient smoothing meshfree collocation method

delete2018-10-01
delete88
PRE
AI
王东东 cover
王东东 (Dongdong Wang) *
王
王家睿 (Jiarui Wang)
吴
吴俊超 (Junchao Wu)
DOI:10.1016/j.cma.2018.06.021delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
A superconvergent meshfree collocation method with smoothed nodal gradients is presented. In this method, the first order smoothed gradients of meshfree shape function are constructed through a meshfree interpolation of the standard derivatives of meshfree shape function, while the second order smoothed gradients are computed through directly differentiating the first order smoothed gradients. It is noted that the second order smoothed gradients evaluated at meshfree nodes can be conveniently expressed as two successive first order gradient smoothing operations on the meshfree shape function, which facilitates a trivial numerical implementation. Subsequently, an employment of the second order smoothed gradients in the strong form of a given problem leads to the gradient smoothing meshfree collocation method purely using nodes as the collocation points. Based upon a local truncation error analysis, it is systematically shown that the proposed meshfree collocation method yields superconvergent solutions for odd degree basis functions. A key ingredient attributed to this superconvergence property is that the second order smoothed gradients meet the consistency conditions which go one order beyond the original basis degree of meshfree approximation. Another interesting fact is that the present formulation enables a convergent collocation scheme when the linear basis function is used in meshfree approximation, which is non-feasible in the conventional collocation formulation. The effectiveness of the proposed methodology is validated by numerical examples for both potential and elasticity problems. Numerical results well demonstrate the superconvergence and higher efficiency of the present gradient smoothing meshfree collocation method. (C) 2018 Elsevier B.V. All rights reserved.
Keywords:
Meshfree method
Gradient smoothing
Collocation
Consistency condition
Superconvergence

Journal

Computer Methods in Applied Mechanics and Engineering cover
Computer Methods in Applied Mechanics and Engineering
IF:
7.3
Papers:
1.3W
Citations:
5.6W

Organization

X
xiamen university
Scholars:
5.9W
Papers: 3.8W
Citations: 67
Cited Papers

Cited Papers

Flora vascular de las lomas de Villa María y Amancaes, Lima, Perú
err2012-08-13
err0
errOAAI
errHuber Trinidad; Elluz Huamán-Melo; Amalia Delgado; Asunción Cano
errShare
errSave
Residual Structure in Islet Amyloid Polypeptide Mediates Its Interactions with Soluble Insulin
err2009-01-15
err0
PREAI
errLei Wei; Ping Jiang; Yin Hoe Yau; Heike Summer; Susana Geifman Shochat; Yuguang Mu; Konstantin Pervushin
errShare
errSave
Women and Their Partners’ Perceptions of the Key Roles of the Labor and Delivery Nurse
err2009-08-13
err0
PREAI
errJudith Belle Brown; Christy Beckhoff; Julia Bickford; Moira Stewart; Thomas R. Freeman; M. Janet Kasperski
errShare
errSave
errShare
errSave
Photophysical Properties of ZnS Nanoclusters with Spatially Localized Mn2+
err1996-03-14
err0
PREAI
errKelly Sooklal; Brian S. Cullum; S. Michael Angel; Catherine J. Murphy
errShare
errSave
Induced Abortion in Italy: Levels, Trends and Characteristics
err1996-11-01
err0
PREAI
errSilvana Salvini Bettarini; Silvana Schifini D'Andrea
errShare
errSave
Meshless methods: An overview and recent developments
err1996-12-01
err3.0K
PREAI
errBelytschko, T; Krongauz, Y; Organ, D; Fleming, M; Krysl, P
errShare
errSave
Isogeometric collocation: Cost comparison with Galerkin methods and extension to adaptive hierarchical NURBS discretizations
err2013-12-01
err253
PREAI
errSchillinger, Dominik; Evans, John A.; Reali, Alessandro; Scott, Michael A.; Hughes, Thomas J. R.
errShare
errSave
researcher View more