Low dissipative filtration for difference methods of computational fluid dynamics

Variational Methods for Computational Fluid Dynamics

Parallel extrapolation methods for computational fluid dynamics

Iterative solution methods for large, sparse linear systems of equations usually require significantly less time and memory than direct methods, and so are important in solving the systems which often arise in computational fluid dynamics. There are a number of eztrapolation algorithms which have been closely studied in the past as methods of accelerating convergence of iterative processes [3]....

Implicit Solution Methods in Computational Fluid Dynamics

A class of implicit finite difference schemes of the Beam and Warming approximate factorization type will be addressed. The development and analysis,of various aspects of this class of schemes will be given along with the motivations behind many of the choices. Various acceleration and efficiency modifications such as matrix reduction, diagonalization and flux split schemes will be presented. T...

Solution Methods In Computational Fluid Dynamics

Implicit finite difference schemes for solving two dimensional and three dimensional Euler and Navier-Stokes equations will be addressed. The methods are demonstrated in fully vectorized codes for a CRAY type architecture. We shall concentrate on the Beam and Warming implicit approximate factorization algorithm in generalized coordinates. The methods are either time accurate or accelerated non-...

Hydrodynamic Improvement of underwater glider by Computational Fluid Dynamics method

Gliders are new marine vehicles which have research and military uses and they move by sequent diving and climbing. Suitable design of its main body and wings are important for the most advance velocity. hydrodynamic design variables are main body form, wings (cross section, dimensions, shape, longitudinal and vertical position) and hydrostatic parameters (static trim angle, amount of added for...