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William J. Rider
Researcher at Sandia National Laboratories
Publications - 95
Citations - 5604
William J. Rider is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Nonlinear system & Riemann solver. The author has an hindex of 27, co-authored 95 publications receiving 5189 citations. Previous affiliations of William J. Rider include Los Alamos National Laboratory & University of California, Davis.
Papers
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Journal ArticleDOI
Reconstructing Volume Tracking
TL;DR: The method is tested by testing its ability to track interfaces through large, controlled topology changes, whereby an initially simple interface configuration is subjected to vortical flows, and numerical results for these strenuous test problems provide evidence for the algorithm's improved solution quality and accuracy.
BookDOI
Implicit large eddy simulation : computing turbulent fluid dynamics
TL;DR: In this article, a rationale for ILES for turbulent flows is presented, with a rationale based on physics with Numerics (PHN) with numerical regularization.
Journal ArticleDOI
A High-Order Projection Method for Tracking Fluid Interfaces in Variable Density Incompressible Flows
TL;DR: In this paper, the authors present a numerical method for computing solutions of the incompressible Euler or Navier?Stokes equations when a principal feature of the flow is the presence of an interface between two fluids with different fluid properties.
Proceedings ArticleDOI
Volume tracking of interfaces having surface tension in two and three dimensions
TL;DR: The theory of volume tracking methods, derive appropriate volume evolution equations, identify and present solutions to the basic geometric functions needed for interface reconstruction and volume fluxing, and provide detailed algorithm templates for modern 2-D and 3-D PLIC VOF interface tracking methods.
Journal ArticleDOI
A rationale for implicit turbulence modelling
Len G. Margolin,William J. Rider +1 more
TL;DR: In this paper, the authors present a rationale for the success of nonoscillatory finite volume difference schemes in modeling turbulent flows without need of subgrid scale models, and demonstrate that these truncation terms have physical justification, representing the modifications to the governing equations that arise when one considers the motion of finite volumes of fluid over finite intervals of time.