Results 111 to 120 of about 26,402 (201)

Optimizing OpenFOAM GPU Solvers

Труды Института системного программирования РАН, 2018
The paper presents preliminary research on improving performance of CFD simulations in OpenFOAM via offloading parts of computations (specifically, solution of linear systems) to a graphics accelerator (GPU). We present a short review of OpenFOAM package and describe porting conjugate gradient method to the GPU architecture using CUDA programming model.
openaire   +1 more source

Numerical and Experimental Investigation of Hydrodynamic Behavior of a Horseshoe Vortex around sail

نشریه مهندسی دریا, 2017
The horseshoe vortex generated around the sail-body junction of a submarine has an important influence on the uniformity of the submarine wake at the propeller and hydrodynamic noise.
Mojtaba Dehghan Manshadi, Kazem Hejranfar, Amir Hamzeh Farajollahi   +2 more
doaj  

Computational Fluid Dynamics Methodology for Aortic Aneurysm Analysis in Computed Tomography (CT) Datasets. [PDF]

Cureus
Jenkinson CG, Wood TL.
europepmc   +1 more source

Numerical simulation of the flow around a pier using OpenFOAM [PDF]

, 2014
Cunha Ramos, Pedro, Maia, Rodrigo, Pêgo, João Pedro   +2 more
core  

Multiscale simulation of respiratory airflow using physiologically consistent geometry and boundary conditions in OpenFOAM. [PDF]

Comput Biol Med
Nguyen QH, Huh S, Chae KJ, Cui X, Lin CL, Choi S.   +5 more
europepmc   +1 more source

A Novel Approach to Automatically Balance Flow in Profile Extrusion Dies Through Computational Modeling. [PDF]

Polymers (Basel)
Wagner G, Vidal J, Barbat P, Gonnet JM, Nóbrega JM.   +4 more
europepmc   +1 more source

The evolution and significance of embolization efficiency index (EEI) during transcatheter hepatic arterial embolization procedure: a pilot study based on computational fluid dynamics. [PDF]

Front Bioeng Biotechnol
Wang ZX, Zhao YF, Qi Q.
europepmc   +1 more source

Subject-specific modeling framework for particle deposition using computational fluid dynamics. [PDF]

J Aerosol Sci
Bartol IR, Graffigna Palomba MS, Dawson RJ, Bolch WE, Tano ME, Dewji SA.   +5 more
europepmc   +1 more source

Diodicity of MicroTesla Valves Under Various Re Numbers. [PDF]

Micromachines (Basel)
Liosis C, Papadatos A, Pagonis DN, Peppa S, Sarris I.   +4 more
europepmc   +1 more source

Application of deep reinforcement learning in parameter optimization and refinement of turbulence models. [PDF]

Sci Rep
Zhang Z.
europepmc   +1 more source