A5065881756- Fluid Dynamics Simulations and Interactions
- Advanced Numerical Methods in Computational Mathematics
- Numerical methods in engineering
- Computational Fluid Dynamics and Aerodynamics
- Electromagnetic Simulation and Numerical Methods
- Manufacturing Process and Optimization
- Topology Optimization in Engineering
- High-Velocity Impact and Material Behavior
- Composite Material Mechanics
- Advanced ceramic materials synthesis
- Metaheuristic Optimization Algorithms Research
- Parallel Computing and Optimization Techniques
- Electromagnetic Scattering and Analysis
- Additive Manufacturing and 3D Printing Technologies
- Advanced Numerical Analysis Techniques
- Lattice Boltzmann Simulation Studies
- Spacecraft and Cryogenic Technologies
- Numerical methods for differential equations
- Electromagnetic Launch and Propulsion Technology
- Satellite Image Processing and Photogrammetry
- Particle accelerators and beam dynamics
- Composite Structure Analysis and Optimization
- Fluid Dynamics and Turbulent Flows
- Adhesion, Friction, and Surface Interactions
- Metal Forming Simulation Techniques
Sandia National Laboratories California
2002-2024
Sandia National Laboratories
1997-2023
United States Department of Energy
2007-2014
Simulation Technologies (United States)
2011
Office of Scientific and Technical Information
2002-2007
University of Rhode Island
2007
Rhode Island College
2007
National Technical Information Service
2002-2007
Computational Physics (United States)
2002-2005
Government of the United States of America
2002
ALEGRA is an arbitrary Lagrangian-Eulerian (multiphysics) computer code developed at Sandia National Laboratories since 1990. The contains a variety of physics options including magnetics, radiation, and multimaterial flow. has been for nearly two decades, but recent work dramatically improved the code’s accuracy robustness. These improvements include techniques applied to basic Lagrangian differencing, artificial viscosity remap step method important improvement in conservation energy...
Abstract This paper presents a detailed multi‐methods comparison of the spatial errors associated with finite difference, element and volume semi‐discretizations scalar advection–diffusion equation. The are reported in terms non‐dimensional phase group speed, discrete diffusivity, artificial grid‐induced anisotropy. It is demonstrated that Fourier analysis provides an automatic process for separating advective operator into its symmetric skew‐symmetric components characterizing spectral...
The reproducing kernel particle method (RKPM) has many attractive properties that make it ideal for treating a broad class of physical problems. RKPM may be implemented in ‘mesh-full’ or ‘mesh-free’ manner and provides the ability to tune method, via selection window function its associated dilation parameter, order achieve requisite numerical performance. also framework performing hierarchical computations making an candidate simulating multi-scale Although appealing attributes, is quite...
Abstract Part I of this work presents a detailed multi‐methods comparison the spatial errors associated with one‐dimensional finite difference, element and volume semi‐discretizations scalar advection–diffusion equation. In II we extend analysis to two‐dimensional domains also consider effects wave propagation direction grid aspect ratio on phase speed, discrete artificial diffusivities. The observed dependence dispersive diffusive behaviour makes methods more difficult relative results. For...
The physics of ballistic penetration mechanics is great interest in penetrator and countermeasure design. phenomenology associated with these events can be quite complex, a significant number studies have been conducted ranging from purely experimental to “engineering” models based on empirical and/or analytical descriptions fully coupled penetrator/target, thermomechanical numerical simulations. Until recently, however, there appears paucity considering “nonideal” impacts (Goldsmith, 1999,...