Part of the Mechanical Engineering Commons

Works by Dan Gabriel Cacuci in Mechanical Engineering

2022

Illustrative Application of the nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems to the Nordheim–Fuchs Reactor Dynamics/Safety Model, Dan Gabriel Cacuci
Faculty Publications

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Illustrative Application of the nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems to the Nordheim–Fuchs Reactor Dynamics/Safety Model, Dan Gabriel Cacuci
Faculty Publications

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2020

First-Order Comprehensive Adjoint Method for Computing Operator-Valued Response Sensitivities to Imprecisely Known Parameters, Internal Interfaces and Boundaries of Coupled Nonlinear Systems: I. Mathematical Framework, Dan Gabriel Cacuci
Faculty Publications

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First-Order Comprehensive Adjoint Method for Computing Operator-Valued Response Sensitivities to Imprecisely Known Parameters, Internal Interfaces and Boundaries of Coupled Nonlinear Systems: II. Application to a Nuclear Reactor Heat Removal Benchmark, Dan Gabriel Cacuci
Faculty Publications

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Comprehensive Second-Order Adjoint Sensitivity Analysis Methodology (2nd-ASAM) Applied to a Subcritical Experimental Reactor Physics Benchmark: V. Computation of Mixed 2nd-Order Sensitivities Involving Isotopic Number Densities, Ruixian Fang, Dan Gabriel Cacuci
Faculty Publications

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Introducing the Journal of Nuclear Engineering: An Interdisciplinary Open Access Journal Dedicated to Publishing Research in Nuclear and Radiation Sciences and Applications, Dan Gabriel Cacuci
Faculty Publications

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Comprehensive Second-Order Adjoint Sensitivity Analysis Methodology (2nd-ASAM) Applied to a Subcritical Experimental Reactor Physics Benchmark. VI: Overall Impact of 1st- and 2nd-Order Sensitivities on Response Uncertainties, Dan Gabriel Cacuci, Ruixian Fang, Jeffrey A. Favorite
Faculty Publications

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Comprehensive Second-Order Adjoint Sensitivity Analysis Methodology (2nd-ASAM) Applied to a Subcritical Experimental Reactor Physics Benchmark: IV. Effects of Imprecisely Known Source Parameters, Ruixian Fang, Dan Gabriel Cacuci
Faculty Publications

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2019

Towards Overcoming the Curse of Dimensionality: The Third-Order Adjoint Method for Sensitivity Analysis of Response-Coupled Linear Forward/Adjoint Systems, Uncertainty Quantification and Predictive Modeling with Applications to Nuclear Energy Systems, Dan Gabriel Cacuci
Faculty Publications

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Towards Overcoming the Curse of Dimensionality: The Third-Order Adjoint Method for Sensitivity Analysis of Response-Coupled Linear Forward/Adjoint Systems, with Applications to Uncertainty Quantification and Predictive Modeling, Dan Gabriel Cacuci
Faculty Publications

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2016

Predictive Modeling of a Buoyancy-Operated Cooling Tower under Unsaturated Conditions: Adjoint Sensitivity Model and Optimal Best-Estimate Results with Reduced Predicted Uncertainties, Federico Di Rocco, Dan Gabriel Cacuci
Faculty Publications

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Predictive Modeling of a Paradigm Mechanical Cooling Tower: I. Adjoint Sensitivity Model, Dan Gabriel Cacuci, Ruixian Fang
Faculty Publications

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Predictive Modeling of a Paradigm Mechanical Cooling Tower Model: Ii. Optimal Best-Estimate Results with Reduced Predicted Uncertainties, Ruixian Fang, Dan Gabriel Cacuci, Madalina Badea
Faculty Publications

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