Compressible Flow Simulations on a Massively Parallel Computer

1991 ◽  
Vol 02 (01) ◽  
pp. 430-436
Author(s):  
ELAINE S. ORAN ◽  
JAY P. BORIS
Keyword(s):  
Compressible Flow ◽  
Chemical Reactions ◽  
Large Scale ◽  
Model Development ◽  
Time Dependent ◽  
Parallel Computer ◽  
Massively Parallel ◽  
Parallel Solution ◽  
Flow Simulations ◽  
Connection Machine

This paper describes model development and computations of multidimensional, highly compressible, time-dependent reacting on a Connection Machine (CM). We briefly discuss computational timings compared to a Cray YMP speed, optimal use of the hardware and software available, treatment of boundary conditions, and parallel solution of terms representing chemical reactions. In addition, we show the practical use of the system for large-scale reacting and nonreacting flows.

Massively Parallel Molecular Dynamics Simulations of Two-dimensional Materials at High Strain Rates

1992 ◽  
Vol 291 ◽  
Author(s):  
Norman J. Wagner ◽  
Brad Lee Holian
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Large Scale ◽  
Spall Strength ◽  
Computer Experiments ◽  
Dislocation Dynamics ◽  
Parallel Computer ◽  
Massively Parallel ◽  
Connection Machine ◽  
Dynamics Simulations

ABSTRACTLarge scale molecular dynamics simulations on a massively parallel computer are performed to investigate the mechanical behavior of 2-dimensional materials. A model embedded atom many- body potential is examined, corresponding to “ductile” materials. A parallel MD algorithm is developed to exploit the architecture of the Connection Machine, enabling simulations of > 106atoms. A model spallation experiment is performed on a 2-D triagonal crystal with a well-defined nanocrystalline defect on the spall plane. The process of spallation is modelled as a uniform adiabatic expansion. The spall strength is shown to be proportional to the logarithm of the applied strain rate and a dislocation dynamics model is used to explain the results. Good predictions for the onset of spallation in the computer experiments is found from the simple model. The nanocrystal defect affects the propagation of the shock front and failure is enhanced along the grain boundary.

Crack Growth and Propagation in Metallic Alloys

1995 ◽  
Vol 409 ◽  
Author(s):  
W. C. Morrey ◽  
L. T. Wille
Keyword(s):  
Large Scale ◽  
Critical Strain ◽  
Cleavage Plane ◽  
Crack Tip ◽  
Metallic Alloys ◽  
Propagation Direction ◽  
Dynamics Simulation ◽  
Parallel Computer ◽  
Massively Parallel ◽  
Tip Position

AbstractUsing large-scale molecular dynamics simulation on a massively parallel computer, we have studied the initiation of cracking in a Monel-like alloy of Cu-Ni. In a low temperature 2D sample, fracture from a notch starts at a little beyond 2.5% critical strain when the propagation direction is perpendicular to a cleavage plane. We discuss a method of characterizing crack tip position using a measure of area around the crack tip.

scholarly journals CELLULAR AUTOMATON FOR THE FRACTURE OF ELASTIC MEDIA

1993 ◽  
Vol 04 (01) ◽  
pp. 127-136 ◽  
Author(s):  
PETER OSSADNIK
Keyword(s):  
Fractal Dimension ◽  
Cellular Automaton ◽  
Elastic Medium ◽  
Fast Algorithm ◽  
Large Scale ◽  
Parallel Computer ◽  
Elastic Media ◽  
Data Parallel ◽  
Connection Machine ◽  
Large Scale Simulations

We study numerically the growth of a crack in an elastic medium under the influence of a travelling shockwave. We describe the implementation of a fast algorithm which is perfectly suited for a data parallel computer. Using large scale simulations on the Connection Machine we generate cracks with more than 10000 sites on a 1024 × 1024 lattice. We show that the resulting patterns are fractal with a fractal dimension that depends on the chosen breaking criterion and varies between 1. and 2.

scholarly journals Time-dependent density-functional theory in massively parallel computer architectures: the octopus project

2012 ◽  
Vol 24 (23) ◽  
pp. 233202 ◽  
Author(s):  
Xavier Andrade ◽  
Joseba Alberdi-Rodriguez ◽  
David A Strubbe ◽  
Micael J T Oliveira ◽  
Fernando Nogueira ◽  
...  
Keyword(s):  
Density Functional Theory ◽  
Density Functional ◽  
Computer Architectures ◽  
Time Dependent ◽  
Parallel Computer ◽  
Massively Parallel ◽  
Functional Theory ◽  
Dependent Density

SIMULATIONS OF KINETIC ROUGHENING WITH POWER-LAW NOISE ON THE CONNECTION MACHINE

1991 ◽  
Vol 02 (03) ◽  
pp. 719-733 ◽  
Author(s):  
R. BOURBONNAIS ◽  
H.J. HERRMANN ◽  
T. VICSEK
Keyword(s):  
Power Law ◽  
Large Scale ◽  
Universality Class ◽  
Parallel Computer ◽  
Kinetic Roughening ◽  
Connection Machine ◽  
Power Law Noise ◽  
Zhang Model ◽  
Large Scale Simulations ◽  
Kinetics Of

We present results of large scale simulations on the Connection Machine (CM) on the scaling behavior of the Zhang model and its variants for the kinetics of self-affine interfaces with power-law noise. Details on implementing this problem on a massively parallel computer such as the CM are given. Our calculations for the case when the amplitude η of the noise has a distribution P(η)~η−1−µ are in good agreement with earlier findings of non-universality for µ<7. We present data which suggest that for µ≥7 the model is in the universality class of Gaussian noise.

Visualizing Computational Simulation Results Using Virtual Reality Technology

2003 ◽  
Author(s):  
Nilay Sezer-Uzol ◽  
Anirudh Modi ◽  
Lyle N. Long ◽  
Paul E. Plassmann
Keyword(s):  
Virtual Reality ◽  
Large Scale ◽  
Computational Simulation ◽  
Three Dimensional ◽  
Steering System ◽  
General Purpose ◽  
Parallel Computer ◽  
Virtual Reality Technology ◽  
Simulation Code ◽  
Flow Simulations

The visualization of computational simulations of complex physical problems using virtual reality technology is demonstrated in this study. A general-purpose computational steering system (POSSE) which can be coupled to any C/C++ simulation code, has been developed and tested with a 3-D parallel Navier-Stokes flow solver (PUMA2) [1]. In addition, the visualizations can be displayed using virtual reality facilities (such as CAVEs and RAVEs) to better understand the 3-D nature of the flowfields. The simulations can be run on parallel computers such as Beowulf clusters, while the visualization is performed on other computers, through a client-server approach. A key advantage of our system is its scalability. Visualization primitives are generated on the parallel computer. This is essential for large-scale simulations, since it is often not possible to post-process the entire flowfield on a single computer due to memory and speed constraints. Example applications of time-dependent and three-dimensional computational flow simulations performed at Penn-State are presented to show the usefulness of POSSE and virtual reality systems. The examples include CFD predictions for unsteady simulations of a helicopter rotor, unsteady ship airwake simulations, helicopter tail fan-in-fin flow simulations and simulations of time-accurate flow and noise due to a landing gear.

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