Mesh-Free MLS-Based Error-Recovery Technique for Finite Element Incompressible Elastic Computations

نویسندگان

چکیده

The finite element error and adaptive analysis are implemented in procedures to increase the reliability of numerical analyses. In this paper, mesh-free error-recovery technique based on moving least squares (MLS) interpolation is applied recover errors stresses displacements incompressible elastic solutions estimated energy norms. effects types (triangular quadrilateral elements) formation patches (mesh-free patch, mesh-dependent element-based node-based patch) for recovery MLS conventional least-square interpolation-error quantification also assessed study. Numerical examples elasticity, including a problem with singularity, studied display effectiveness applicability technique. mixed formulation (displacement pressure) adopted problem. rate convergence, effectivity estimation, modified meshes desired accuracy used assess estimators. error-convergence rates computed original FEM solution, post-processed solution using MLS-based displacement, stress recovery, patch-based least-square-based (ZZ) as (0.9777, 2.2501, 2.0012, 1.6710 1.5436), (0.9736, 2.0869, 1.6931, 1.8806 1.4973), respectively, four-node quadrilateral, six-node triangular meshes. It concluded that displacement-based was more effective than stress-based patches.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Optimal Finite Element Mesh for Linear Elastic

This paper investigates the adaptive solution of linear elastic structural analysis problems through re-positioning of the nite element nodal points (r-renement) using an approach known as the Moving Finite Element method. After a brief introduction to the Moving Finite Element method it is proved that this technique can yield optimal nite element solutions on optimal meshes in the energy norm ...

متن کامل

A Mesh Optimization Algorithm to Decrease the Maximum Error in Finite Element Computations

We present a mesh optimization algorithm for adaptively improving the finite element interpolation of a function of interest. The algorithm minimizes an objective function by swapping edges and moving nodes. Numerical experiments are performed on model problems. The results illustrate that the mesh optimization algorithm can reduce the W 1,∞ semi-norm of the interpolation error. For these examp...

متن کامل

Multigrid for Matrix-Free Finite Element Computations on Graphics Processors

In this paper, we consider matrix-free finite-element techniques for efficient numerical solution of partial differential equations on modern manycore processors such as graphics cards. We present a GPU parallelization of a completely matrix-free geometric multigrid iterative solver, with support for general curved and adaptively refined meshes with hanging nodes. Comparing our implementation r...

متن کامل

Investigation of Shape Functions Role on the Mesh-free Method Application in Soft Tissue Elastography

In current study, The Mesh-free method based on weak-form formulation coupled with the ultrasound imaging technique is developed. This problem consists in computing the deformation of an elastic non-homogenous phantom by numerical methods (both Mesh-free and Finite Element) and converge their results to the measured deformation by the ultrasound. The shape functions of Mesh-free are approximate...

متن کامل

Gauge finite element method for incompressible flows

A finite element method for computing viscous incompressible flows based on the gauge formulation introduced in [Weinan E, Liu J-G. Gauge method for viscous incompressible flows. Journal of Computational Physics (submitted)] is presented. This formulation replaces the pressure by a gauge variable. This new gauge variable is a numerical tool and differs from the standard gauge variable that aris...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Applied sciences

سال: 2023

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app13126890