Kevin H. Brown
Sandia National Laboratories
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Featured researches published by Kevin H. Brown.
Computer Methods in Applied Mechanics and Engineering | 2000
Kevin H. Brown; Steve Attaway; Steve Plimpton; Bruce Hendrickson
We describe a general strategy we have found effective for parallelizing solid mechanics simulations. Such simulations often have several computationally intensive parts, including finite element integration, detection of material contacts, and particle interaction if smoothed particle hydrodynamics is used to model highly deforming materials. The need to balance all of these computations simultaneously is a difficult challenge that has kept many commercial and government codes from being used effectively on parallel supercomputers with hundreds or thousands of processors. Our strategy is to load-balance each of the significant computations independently with whatever balancing technique is most appropriate. The chief benefit is that each computation can be scalably parallelized. The drawback is the data exchange between processors and extra coding that must be written to maintain multiple decompositions in a single code. We discuss these trade-offs and give performance results showing this strategy has led to a parallel implementation of a widely used solid mechanics code that can now be run efficiently on thousands of processors of the Pentium-based Sandia/Intel TFLOPS machine. We illustrate with several examples the kinds of high-resolution, million-element models that can now be simulated routinely. We also look to the future and discuss what possibilities this new capability promises, as well as the new set of challenges it poses in material models, computational techniques, and computing infrastructure.
Other Information: PBD: 1 May 2003 | 2001
Kevin H. Brown; Thomas Eugene Voth; Micheal W. Glass; Arne S. Gullerud; Martin W. Heinstein; Reese E. Jones
An effort is underway at Sandia National Laboratories to develop a library of algorithms to search for potential interactions between surfaces represented by analytic and discretized topological entities. This effort is also developing algorithms to determine forces due to these interactions for transient dynamics applications. This document describes the Application Programming Interface (API) for the ACME (Algorithms for Contact in a Multiphysics Environment) library.
conference on high performance computing (supercomputing) | 1997
Stephen A. Attaway; Edward J. Barragy; Kevin H. Brown; David R. Gardner; Bruce Hendrickson; Steven J. Plimpton
We describe our parallelization of PRONTO, Sandias transient solid dynamics code, via a novel algorithmic approach that utilizes multiple decompositions for different key segments of the computations, including the material contact calculation. This latter calculation is notoriously difficult to perform well in parallel, because it involves dynamically changing geometry, global searches for elements in contact, and unstructured communications among the compute nodes. Our approach scales to at least 3600 compute nodes on problems involving millions of finite elements. We can simulate models using more than ten million elements in a few tenths of a second per timestep.
Other Information: PBD: 1 Oct 2002 | 2002
Edward A. Boucheron; Kevin H. Brown; Kent G. Budge; Shawn P. Burns; Daniel E. Carroll; Susan K. Carroll; Mark A. Christon; Richard Roy Drake; Christopher Joseph Garasi; Thomas A. Haill; James S. Peery; Sharon Joy Victor Petney; Joshua Robbins; Allen C. Robinson; Randall M. Summers; Thomas Eugene Voth; Michael K. Wong
ALEGRA is an arbitrary Lagrangian-Eulerian finite element code that emphasizes large distortion and shock propagation. This document describes the user input language for the code.
Other Information: PBD: 1 May 2002 | 2002
Kevin H. Brown; Shawn P. Burns; Mark A. Christon
This report provides a review of the open literature relating to numerical methods for simulating deep penetration events. The objective of this review is to provide recommendations for future development of the ALEGRA shock physics code to support earth penetrating weapon applications. While this report focuses on coupled Eulerian-Lagrangian methods, a number of complementary methods are also discussed which warrant further investigation. Several recommendations are made for development activities within ALEGRA to support earth penetrating weapon applications in the short, intermediate, and long term.
ASME 2005 Pressure Vessels and Piping Conference | 2005
Joseph E. Bishop; Thomas Eugene Voth; Kevin H. Brown
The physics of ballistic penetration mechanics is of great interest in penetrator and counter-measure design. The phenomenology associated with these events can be quite complex and a significant number of studies have been conducted ranging from purely experimental to ‘engineering’ models based on empirical and/or analytical descriptions to fully-coupled penetrator/target, thermo-mechanical numerical simulations. Until recently, however, there appears to be a paucity of numerical studies considering ‘non-ideal’ impacts [1]. The goal of this work is to demonstrate the SHISM algorithm implemented in the ALEGRA Multi-Material ALE (Arbitrary Lagrangian Eulerian) code [13]. The SHISM algorithm models the three-dimensional continuum solid mechanics response of the target and penetrator in a fully coupled manner. This capability allows for the study of ‘non-ideal’ impacts (e.g. pitch, yaw and/or obliquity of the target/penetrator pair). In this work predictions using the SHISM algorithm are compared to previously published experimental results for selected ideal and non-ideal impacts of metal penetrator-target pairs. These results show good agreement between predicted and measured maximum depth-of-penetration, DOP, for ogive-nose penetrators with striking velocities in the 0.5 to 1.5 km/s range. Ideal impact simulations demonstrate convergence in predicted DOP for the velocity range considered. A theory is advanced to explain disagreement between predicted and measured DOP at higher striking velocities. This theory postulates uncertainties in angle-of-attack for the observed discrepancies. It is noted that material models and associated parameters used here, were unmodified from those in the literature. Hence, no tuning of models was performed to match experimental data.Copyright
Other Information: PBD: 1 Apr 2001 | 2001
Kevin H. Brown; Micheal W. Glass; Arne S. Gullerud; Martin W. Heinstein; Reese E. Jones; Randall M. Summers
An effort is underway at Sandia National Laboratories to develop a library of algorithms to search for potential interactions between surfaces represented by analytic and discretized topological entities. This effort is also developing algorithms to determine forces due to these interactions for transient dynamics applications. This document describes the Application Programming Interface (API) for the ACME (Algorithms for Contact in a Multiphysics Environment) library.
Archive | 2002
Sandia Report; Edward A. Boucheron; Kevin H. Brown; Kent G. Budge; Shawn P. Burns; Daniel E. Carroll; Susan K. Carroll; Mark A. Christon; Richard Roy Drake; Christopher G. Garasi; Thomas A. Haill; James S. Peery; Sharon Joy Victor Petney; Joshua Robbins; Allen C. Robinson; Randy Mr; Thomas Eugene Voth; Michael K. Wong
Archive | 2014
Kevin H. Brown; Seferino Crollett; Tammy D. Henson; Matthew Napier; Peter G. Stromberg
Archive | 1999
Stephen W. Attaway; Ted Barragy; Kevin H. Brown; David R. Gardner; Jeff Gruda; Martin W. Heinstein; Bruce Hendrickson; Kurt Metzinger; Mike Neilsen; Steve Plimpton; John Pott; Jeff Swegle