Computers '95: Fluid Dynamics

Solution of Computational Fluid Dynamics Problems on Parallel Computers with Distributed Memory

There are presented some applications of parallel computers with distributed memory to solving CFD-problems. Two types of flows are predicted. In the first case — multi-phase immiscible incompressible fluid flows in a porous medium. Filtration processes are governed by the 2d Bucley-Leverett model. Explicit as well as implicit methos are used. Simulation of oil extraction by water flooding is c...

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...

Programming Unconventional Computers: Dynamics, Development, Self-Reference

Classical computing has well-established formalisms for specifying, refining, composing, proving, and otherwise reasoning about computations. These formalisms have matured over the past 70 years or so. Unconventional Computing includes the use of novel kinds of substrates–from black holes and quantum effects, through to chemicals, biomolecules, even slime moulds–to perform computations that do ...

Toward Biomolecular Computers Using Reaction-Diffusion Dynamics

Topological fluid dynamics for fluid dynamicists

These notes are preliminary and informal. My aim is to provide an introduction to some of the basic ideas that have emerged in recent decades in the fluids literature that have a fundamentally topological character. That is, rather than focusing on details such as velocity profile or pressure field, this material deals with persistent invariant properties of a flow field, features which often h...