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David R. Gardner

Researcher at Sandia National Laboratories

Publications -  7
Citations -  61

David R. Gardner is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Rayleigh number & Natural convection. The author has an hindex of 6, co-authored 7 publications receiving 61 citations.

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Proceedings ArticleDOI

Transient Solid Dynamics Simulations on the Sandia/Intel Teraflop Computer

TL;DR: This work describes the parallelization of PRONTO, Sandia's 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.
Journal ArticleDOI

Prandtl number effects on the stability of natural convection between spherical shells

TL;DR: An analysis of the effect of the Prandtl number on the linear stability of axisymmetric disturbances on steady natural convection contained between two concentric spherical shells when the gap is narrow is presented in this article.
Patent

Process for removing soybean hulls

TL;DR: In this paper, a process for removing hulls from soybeans comprises the steps of placing the soybeans in an atmosphere of reduced pressure, subjecting the beans to microwave energy while the beans are within the atmosphere of low pressure, removing a portion of the moisture from the beans until the moisture content of the beans is about 746 to about 10% on a wet basis.
Journal ArticleDOI

Linear stability of natural convection in spherical annuli

TL;DR: In this paper, a flow bifurcation was shown to be axisymmetric for sufficiently small Grashof number and quasi-periodic and axisymetric for Grashoff numbers greater than a critical value, and the critical eigenvalues and corresponding eigenvectors were obtained as functions of the radius ratio, Prandtl number and longitudinal wavenumber.
ReportDOI

The Optimization of a Shaped-Charge Design Using Parallel Computers

TL;DR: This study explored the use of automatic optimization tools to optimize the design for conventional munitions and identified three optimal solutions for the model and a region of the design domain where the jet tip speed is nearly optimal, indicating the possibility of a robust design.