Singularity threshold of the nonlinear sigma model using 3D adaptive mesh refinement

Parallel 3D Adaptive Mesh Refinement in Titanium

the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...

3D adaptive mesh refinement simulations of pellet injection in tokamaks

Injecting small pellets of frozen hydrogen is a proven method of fueling tokamaks but a quantitative theory of mass redistribution during inside/outside injection is still lacking. We present results of Adaptive Mesh Refinement (AMR) simulations that quantify the MHD processes responsible for mass redistribution. AMR is essential to provide the resolution required to simulate realistic pellet s...

Numerical comparison of nonlinear subgridscale models via adaptive mesh refinement

In this paper, we provide a method of evaluating the efficacy of nonlinear subgridscale models for use in the large eddy simulation of incompressible viscous flow problems. We compare subgridscale “artificial” viscosity models using a posteriori error estimation and adaptive mesh refinement. Specifically, we compare α-Laplacian based subgridscale models and discuss the benefits and limitations ...

Adaptive Mesh Extraction using Simplification and Refinement

This work presents a method for multiresolution mesh extraction with important mathematical properties. The generated mesh represents a regular surface from 3D Euclidian space. The input surface may be specified either implicitly or directly as a volumetric object. The method applies simplification operations to obtain a low resolution initial mesh and applies refinement operations to obtain a ...