Projects per year
Abstract
Purpose - This paper aims to investigate the application of adaptive integration in element-free Galerkin methods for solving problems in structural and solid mechanics to obtain accurate reference solutions. Design/methodology/approach - An adaptive quadrature algorithm which allows user control over integration accuracy, previously developed for integrating boundary value problems, is adapted to elasticity problems. The algorithm allows the development of a convergence study procedure that takes into account both integration and discretisation errors. The convergence procedure is demonstrated using an elasticity problem which has an analytical solution and is then applied to accurately solve a soft-tissue extension problem involving large deformations. Findings - The developed convergence procedure, based on the presented adaptive integration scheme, allows the computation of accurate reference solutions for challenging problems which do not have an analytical or finite element solution. Originality/value - This paper investigates the application of adaptive quadrature to solid mechanics problems in engineering analysis using the element-free Galerkin method to obtain accurate reference solutions. The proposed convergence procedure allows the user to independently examine and control the contribution of integration and discretisation errors to the overall solution error. This allows the computation of reference solutions for very challenging problems which do not have an analytical or even a finite element solution (such as very large deformation problems).
Original language | English |
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Pages (from-to) | 902-920 |
Number of pages | 19 |
Journal | Engineering Computations (Swansea, Wales) |
Volume | 34 |
Issue number | 3 |
DOIs | |
Publication status | Published - Apr 2017 |
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Dive into the research topics of 'Computation of accurate solutions when using element-free Galerkin methods for solving structural problems'. Together they form a unique fingerprint.Projects
- 3 Finished
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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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Towards consistent meshless computational framework for soft tissue damage modelling for traumatic injury prevention and surgery simulation
Wittek, A. (Investigator 01), Miller, K. (Investigator 02) & Yang, K. (Investigator 03)
ARC Australian Research Council
1/01/10 → 31/12/13
Project: Research