Abstract
This paper demonstrates that the recently developed modified moving least squares (MMLS) approximation possess the necessary properties which allow its use as an element free Galerkin (EFG) approximation method. Specifically, the consistency and invariance properties for the MMLS are proven. We demonstrate that MMLS shape functions form a partition of unity and the MMLS approximation satisfies the patch test. The invariance properties are important for the accurate computation of the shape functions by using translation and scaling to a canonical domain. We compare the performance of the EFG method based on MMLS, which uses quadratic base functions, to the performance of the EFG method which uses classical MLS with linear base functions, using both 2D and 3D examples. In 2D we solve an elasticity problem which has an analytical solution (bending of a Timoshenko beam) while in 3D we solve an elasticity problem which has an exact finite element solution (unconstrained compression of a cube). We also solve a complex problem involving complicated geometry, non-linear material, large deformations and contacts. The simulation results demonstrate the superior performance of the MMLS over classical MLS in terms of solution accuracy, while shape functions can be computed using the same nodal distribution and support domain size for both methods.
| Original language | English |
|---|---|
| Pages (from-to) | 1197-1211 |
| Number of pages | 15 |
| Journal | Journal of Scientific Computing |
| Volume | 71 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Jun 2017 |
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Dive into the research topics of 'An Element Free Galerkin Method Based on the Modified Moving Least Squares Approximation'. Together they form a unique fingerprint.Projects
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Biomechanics Meets Robotics: Methods for Accurate and Fast Needle Targeting
Wittek, A. (Investigator 01), Singh, S. (Investigator 02), Miller, K. (Investigator 03), Hannaford, B. (Investigator 04) & Fichtinger, G. (Investigator 05)
ARC Australian Research Council
1/01/16 → 31/03/22
Project: Research
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Neuroimage as Biomechanical Model - New Real Time Computational Biomechanics of the Brain
Miller, K. (Investigator 01), Wittek, A. (Investigator 02), Carey, G. (Investigator 03) & Kikinis, R. (Investigator 04)
ARC Australian Research Council
1/01/12 → 31/12/14
Project: Research
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