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Dive into the research topics where Timothy Michael Wildey is active.

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Featured researches published by Timothy Michael Wildey.


Archive | 2012

Adjoint Based a posteriori Error Estimation in Drekar::CFD

Timothy Michael Wildey; Eric C Cyr; Roger P. Pawlowski; John N. Shadid; Thomas M. Smith

This document summarizes the results from a level 3 milestone study within the CASL VUQ effort. It demonstrates the capability to perform adjoint-based a posteriori error estimation within Drekar::CFD. The a posteriori error estimates require the solution of a (linear) adjoint problem in a higher order approximation space with data chosen based on the quantity of interest. The a posteriori error estimates are verified using an analytical solution to a laminar flow problem. Finally, the framework is demonstrated on the TH-M Test Case #2 involving a 3-dimensional axisymmetric sudden expansion with a moderate Reynolds numbers ( 5000).


Archive | 2014

Thermal hydraulic simulations, error estimation and parameter sensitivity studies in Drekar::CFD

Thomas M. Smith; John N. Shadid; Roger P. Pawlowski; Eric C Cyr; Timothy Michael Wildey

This report describes work directed towards completion of the Thermal Hydraulics Methods (THM) CFD Level 3 Milestone THM.CFD.P7.05 for the Consortium for Advanced Simulation of Light Water Reactors (CASL) Nuclear Hub effort. The focus of this milestone was to demonstrate the thermal hydraulics and adjoint based error estimation and parameter sensitivity capabilities in the CFD code called Drekar::CFD. This milestone builds upon the capabilities demonstrated in three earlier milestones; THM.CFD.P4.02 [12], completed March, 31, 2012, THM.CFD.P5.01 [15] completed June 30, 2012 and THM.CFD.P5.01 [11] completed on October 31, 2012.


Archive | 2013

A comparison of adjoint and data-centric verification techniques.

Timothy Michael Wildey; Eric C Cyr; John N. Shadid; Roger P. Pawlowski; Thomas M. Smith

This document summarizes the results from a level 3 milestone study within the CASL VUQ effort. We compare the adjoint-based a posteriori error estimation approach with a recent variant of a data-centric verification technique. We provide a brief overview of each technique and then we discuss their relative advantages and disadvantages. We use Drekar::CFD to produce numerical results for steady-state Navier Stokes and SARANS approximations. 3


arXiv: Numerical Analysis | 2016

Dimension reduction in MHD power generation models: dimensional analysis and active subspaces

Andrew Glaws; Paul G. Constantine; John N. Shadid; Timothy Michael Wildey


Archive | 2013

Adjoint Based a posteriori Error Estimates Using Data Compression.

Timothy Michael Wildey; Eric C Cyr; John N. Shadid


Applied Numerical Mathematics | 2019

A posteriori analysis of an IMEX entropy-viscosity formulation for hyperbolic conservation laws with dissipation

Jehanzeb Hameed Chaudhry; John N. Shadid; Timothy Michael Wildey


Archive | 2015

Adaptive Bayesian Inference for Prediction

Timothy Michael Wildey; John Davis Jakeman


Archive | 2015

IMEX Lagrangian Methods.

Eric C Cyr; John N. Shadid; Timothy Michael Wildey; David M. Hensinger; Allen C. Robinson; William J. Rider; Guglielmo Scovazzi


Archive | 2015

Utilizing Adjoint-based Error Estimates to Adaptively Resolve Response Surface Approximations.

Timothy Michael Wildey; John Davis Jakeman; Troy Butler


Archive | 2015

Enabling Efficient Uncertainty Quantification Using Adjoint-based Techniques

Timothy Michael Wildey; John N. Shadid; Eric C Cyr; Paul G. Constantine

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John N. Shadid

Sandia National Laboratories

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Eric C Cyr

Sandia National Laboratories

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Roger P. Pawlowski

Sandia National Laboratories

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Thomas M. Smith

Sandia National Laboratories

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John Davis Jakeman

Sandia National Laboratories

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Troy Butler

University of Colorado Denver

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Eric Todd Phipps

Sandia National Laboratories

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Allen C. Robinson

Sandia National Laboratories

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Andrew Glaws

University of Colorado Boulder

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