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Dive into the research topics where John Henry Niederhaus is active.

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Featured researches published by John Henry Niederhaus.


Archive | 2016

Verification and Validation of a Coordinate Transformation Method in Axisymmetric Transient Magnetics.

C. Chace Ashcraft; John Henry Niederhaus; Allen C. Robinson

We present a verification and validation analysis of a coordinate-transformation-based numerical solution method for the two-dimensional axisymmetric magnetic diffusion equation, implemented in the finite-element simulation code ALEGRA. The transformation, suggested by Melissen and Simkin, yields an equation set perfectly suited for linear finite elements and for problems with large jumps in material conductivity near the axis. The verification analysis examines transient magnetic diffusion in a rod or wire in a very low conductivity background by first deriving an approximate analytic solution using perturbation theory. This approach for generating a reference solution is shown to be not fully satisfactory. A specialized approach for manufacturing an exact solution is then used to demonstrate second-order convergence under spatial refinement and temporal refinement. For this new implementation, a significant improvement relative to previously available formulations is observed. Benefits in accuracy for computed current density and Joule heating are also demonstrated. The validation analysis examines the circuit-driven explosion of a copper wire using resistive magnetohydrodynamics modeling, in comparison to experimental tests. The new implementation matches the accuracy of the existing formulation, with both formulations capturing the experimental burst time and action to within approximately 2%.


Archive | 2018

Application of Bayesian Model Selection for Metal Yield Models using ALEGRA and Dakota.

Teresa Portone; John Henry Niederhaus; Jason James Sanchez; Laura Painton Swiler

This report introduces the concepts of Bayesian model selection, which provides a systematic means of calibrating and selecting an optimal model to represent a phenomenon. This has many potential applications, including for comparing constitutive models. The ideas described herein are applied to a model selection problem between different yield models for hardened steel under extreme loading conditions.


international conference on wireless information technology and systems | 2016

ALEGRA based computation of magnetostatic configurations

Michael Grinfeld; Jason McDonald; John Henry Niederhaus

We explore how reliable the ALEGRA MHD code is in its static limit. Also, we explore (in the quasi-static approximation) the process of evolution of the magnetic fields inside and outside an inclusion and the parameters for which the quasi-static approach provides for self-consistent results.


International Journal for Numerical Methods in Fluids | 2011

Arbitrary Lagrangian–Eulerian 3D ideal MHD algorithms

Allen C. Robinson; John Henry Niederhaus; V. G. Weirs; Edward Love


Archive | 2017

ALEGRA-MHD Simulations for Magnetization of an Ellipsoidal Inclusion

Michael Grinfeld; John Henry Niederhaus


Archive | 2016

Improved Solver Settings for 3D Exploding Wire Simulations in ALEGRA

Robert L. Doney; Chris Siefert; John Henry Niederhaus


Archive | 2015

Parallel scaling analysis for ALEGRA on the Excalibur system.

John Henry Niederhaus; Richard Roy Drake


Archive | 2015

Statistically rigorous spatial variation and uncertainty quantification in ALEGRA.

Allen C. Robinson; John Henry Niederhaus


Archive | 2015

Discussion of the Aztec/ML solver for transient magnetics.

John Henry Niederhaus; Christopher Siefert; Sharon Joy Victor Petney


Archive | 2015

Using the ALEGRA Code for Analysis of Quasi-Static Magnetization of Metals

Michael Grinfeld; John Henry Niederhaus; Andrew Porwitzky

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Allen C. Robinson

Sandia National Laboratories

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Richard Roy Drake

Sandia National Laboratories

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Christopher Siefert

Sandia National Laboratories

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Dale R. Koenig

Sandia National Laboratories

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Edward Love

Sandia National Laboratories

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Brian M. Adams

Sandia National Laboratories

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Curtis C. Ober

Sandia National Laboratories

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Jason James Sanchez

Sandia National Laboratories

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Joshua Robbins

Sandia National Laboratories

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