Numerical investigations of the convergence of a remeshing algorithm on an example of subsonic flow
Journal Title: Computer Assisted Methods in Engineering and Science - Year 2010, Vol 17, Issue 2
Abstract
The main goal of the paper is to analyze convergence of a remeshing scheme evaluated by the author [8] on the example of a potential flow around a profile. It is assumed that flow is stationary, irrotational, inviscid and compressible. The problem is led to solving nonlinear differential equation with additional nonlinear algebraic equation representing the so called Kutta-Joukovsky condition. For adaptation a remeshing scheme is applied. For every adaptation step mesh is generated using grid generator [7], which generates meshes with mesh size function. The mesh size function is modified at every adaptation step by nodal values of the error indicator interpolation. The nonlinear algebraic system of equations obtained from discretizing of the problem, is solved by the application of the Newton-Raphson method.
Authors and Affiliations
Jan Kucwaj
Keywords
Related Articles
- EP ID EP74274
- DOI -
- Views 139
- Downloads 0
On improved evolutionary algorithms application to the physically based approximation of experimental data
In this paper an evolutionary algorithms (EA) application to the physically based approximation (PBA) of experimental and/or numerical data is considered. Such an approximation may simultaneously use the whole experiment...
The efficiency of the application of the heap lists to the algorithm of mesh generation
The paper presents an analysis of the efficiency of the application of heap lists data structures to the 2D triangular mesh generation algorithms. Such efficiency is especially important for the frontal methods for which...
Multi-scale modelling of heterogeneous shell structures
This paper reviews multi-scale computational homogenisation frameworks for the non-linear behaviour of heterogeneous thin planar shells. Based on a review of some of the currently available methods, a computational homog...
Hybrid Monte Carlo method in the reliability analysis of structures
The paper develops the idea of [8], i.e., the application of Artificial Neural Networks (ANNs) in probabilistic reliability analysis of structures achieved by means of Monte Carlo (MC) simulation. In this method, a feed-...
Application of support vector machine in geodesy for the classification of vertical displacements
The article presents basic rules for constructing and training neural networks, called the Support Vector Machine technique. SVM networks can mainly be used for solving tasks of classification of linearly and nonlinearly...