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    Network Uncertainty Quantification for Analysis of MultiComponent Systems 

    Source: ASCEASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2022:;volume( 009 ):;issue: 002:;page 21203
    Author(s): Tencer, John;Rojas, Edward;Schroeder, Benjamin B.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In order to impact physical mechanical system design decisions and realize the full promise of highfidelity computational tools, simulation results must be integrated at the earliest stages of the design process. This is ...
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    Network Uncertainty Quantification for Analysis of Multi-Component Systems 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2022:;volume( 009 ):;issue: 002:;page 21203-1
    Author(s): Tencer, John; Rojas, Edward; Schroeder, Benjamin B.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In order to impact physical mechanical system design decisions and realize the full promise of high-fidelity computational tools, simulation results must be integrated at the earliest stages of the design process. This is ...
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    Separability of Mesh Bias and Parametric Uncertainty for a Full System Thermal Analysis 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2019:;volume( 003 ):;issue: 003:;page 31006
    Author(s): Schroeder, Benjamin B.; Silva, III, Humberto; Smith, Kyle D.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: When making computational simulation predictions of multiphysics engineering systems, sources of uncertainty in the prediction need to be acknowledged and included in the analysis within the current paradigm of striving ...
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    Separability of Mesh Bias and Parametric Uncertainty for a Full System Thermal Analysis 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2019:;volume( 003 ):;issue: 003:;page 31006
    Author(s): Schroeder, Benjamin B.; Silva, III, Humberto; Smith, Kyle D.
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: When making computational simulation predictions of multiphysics engineering systems, sources of uncertainty in the prediction need to be acknowledged and included in the analysis within the current paradigm of striving ...
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    Defining Computational Emissivity Uncertainty Over Large Temperature Scales Due to Surface Evolution 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2021:;volume( 006 ):;issue: 003:;page 031005-1
    Author(s): Silva, Humberto, III; Mills, Brantley; Schroeder, Benjamin B.; Keedy, Ryan; Smith, Kyle D.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: There is a dearth in the literature on how to capture the uncertainty generated by material surface evolution in thermal modeling. This leads to inadequate or highly variable uncertainty representations for material ...
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    Simple Effective Conservative Treatment of Uncertainty From Sparse Samples of Random Variables and Functions 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:004:;page 41006
    Author(s): Romero, Vicente J.; Schroeder, Benjamin B.; Dempsey, James F.; Breivik, Nicole L.; Orient, George E.; Antoun, Bonnie R.; Lewis, John R.; Winokur, Justin G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper examines the variability of predicted responses when multiple stress–strain curves (reflecting variability from replicate material tests) are propagated through a finite element model of a ductile steel can being ...
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