COMPUTATIONAL FLUID-DYNAMICS ON THE CONNECTION MACHINE

被引：0
|
作者：
SHARP, HT [1 ]
LONG, LN [1 ]
KHAN, MMS [1 ]
机构：
[1] PENN STATE UNIV,DEPT AEROSP ENGN,UNIVERSITY PK,PA 16802
来源：
MATHEMATICAL AND COMPUTER MODELLING | 1990年 / 14卷
关键词：
COMPUTATIONAL FLUID DYNAMICS; PARALLEL PROCESSING; TURBULENCE MODELING;
D O I：
10.1016/0895-7177(90)90275-R
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper describes a method for solving the three-dimensional Euler and Navier-Stokes equations using the massively parallel Connection Machine computer. The program uses a finite volume Runge-Kutta time marching scheme and can accept structured or unstructured grids. The computer program was written entirely in *Lisp.
引用
收藏
页码：714 / 719
页数：6
相关论文
共 50 条
  • [21] NUMERICAL STABILITY AND NUMERICAL OSCILLATION OF HIGHER-ORDER DIFFERENCE-METHODS FOR COMPUTATIONAL FLUID-DYNAMICS
    TOMIYAMA, A
    TAKAHASHI, R
    JOURNAL OF THE ATOMIC ENERGY SOCIETY OF JAPAN, 1990, 32 (10): : 999 - 1068
  • [22] Combining machine learning with computational fluid dynamics using OpenFOAM and SmartSim
    Maric, Tomislav
    Fadeli, Mohammed Elwardi
    Rigazzi, Alessandro
    Shao, Andrew
    Weiner, Andre
    MECCANICA, 2024,
  • [23] AERODYNAMIC ANALYSIS OF A CAR BASED ON COMPUTATIONAL FLUID DYNAMICS AND MACHINE LEARNING
    Ma, Xingchuan
    PROCEEDINGS OF ASME 2022 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2022, VOL 8, 2022,
  • [24] Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
    Sarosi, Robert
    Montomoli, Francesco
    Li, Zhihui
    Agarwal, Ramesh K.
    JOURNAL OF THERMOPHYSICS AND HEAT TRANSFER, 2025, 39 (01) : 172 - 184
  • [25] Optimal design for disc golf by computational fluid dynamics and machine learning
    Eero Immonen
    Structural and Multidisciplinary Optimization, 2022, 65
  • [26] Optimal design for disc golf by computational fluid dynamics and machine learning
    Immonen, Eero
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2022, 65 (01)
  • [27] Computational Fluid Dynamics
    Peter D. Lax
    Journal of Scientific Computing, 2007, 31 : 185 - 193
  • [28] EFFECTS OF BOUNDARY-CONDITIONS ON CONVERGENCE OF ITERATIVE METHODS FOR POISSONS-EQUATION USED IN COMPUTATIONAL FLUID-DYNAMICS
    TOMIYAMA, A
    TAKAHASHI, R
    JOURNAL OF THE ATOMIC ENERGY SOCIETY OF JAPAN, 1990, 32 (01): : 80 - 91
  • [29] CASE-STUDY - AN INCREMENTAL APPROACH TO REENGINEERING A LEGACY FORTRAN COMPUTATIONAL FLUID-DYNAMICS CODE IN C++
    EWER, J
    KNIGHT, B
    COWELL, D
    ADVANCES IN ENGINEERING SOFTWARE, 1995, 22 (03) : 153 - 168
  • [30] Merging computational fluid dynamics and machine learning to reveal animal migration strategies
    Olivetti, Simone
    Gil, Michael A.
    Sridharan, Vamsi K.
    Hein, Andrew M.
    METHODS IN ECOLOGY AND EVOLUTION, 2021, 12 (07): : 1186 - 1200
12345