Meshless Error Recovery Parametric Investigation in Incompressible Elastic Finite Element Analysis

The meshless displacement error-recovery parametric investigation in finite element method-based incompressible elastic analysis is presented in this study. It investigates key parameters such as interpolation schemes, patch configurations, dilation indexes, weight functions, and meshing patterns. The study evaluates error recovery effectiveness (local and global), convergence rates, and adaptive mesh improvement for triangular/quadrilateral discretization schemes. It uses meshless moving least squares (MLS) interpolation with rectangular and circular support regions and solves benchmark plate and cylinder problems. It is observed that a circular influence region, a cubic spline weight function, and regular mesh patterns yield a better performance of than an MLS-based error recovery method. The study also concludes that lower dilation index values with rectangular influence regions are preferable for regular meshes, while higher dilation index values with radial influence regions are suitable for preferable meshes to enhance MLS error recovery.

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Publication Details

Journal
Mathematical and Computational Applications
Published
2024-09-30
DOI
https://doi.org/10.3390/mca29050087
Primary Topic
Elasticity and Material Modeling
Type
article
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article

Meshless Error Recovery Parametric Investigation in Incompressible Elastic Finite Element Analysis

Mohd. Ahmed, Essam Althaqafi, Devinder Pal Singh
Mathematical and Computational Applications
Elasticity and Material Modeling
article

Meshless Error Recovery Parametric Investigation in Incompressible Elastic Finite Element Analysis

Mohd. Ahmed, Essam Althaqafi, Devinder Pal Singh
article en

Abstract

The meshless displacement error-recovery parametric investigation in finite element method-based incompressible elastic analysis is presented in this study. It investigates key parameters such as interpolation schemes, patch configurations, dilation indexes, weight functions, and meshing patterns. The study evaluates error recovery effectiveness (local and global), convergence rates, and adaptive mesh improvement for triangular/quadrilateral discretization schemes. It uses meshless moving least squares (MLS) interpolation with rectangular and circular support regions and solves benchmark plate and cylinder problems. It is observed that a circular influence region, a cubic spline weight function, and regular mesh patterns yield a better performance of than an MLS-based error recovery method. The study also concludes that lower dilation index values with rectangular influence regions are preferable for regular meshes, while higher dilation index values with radial influence regions are suitable for preferable meshes to enhance MLS error recovery.

Mathematical and Computational ApplicationsVol. 29(5)
King Khalid University (SA)
Openalex Percentile: Top 85%
Elasticity and Material Modeling
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