Now showing items 81-100 of 207

    • Uncertainty Estimation of Biomedical Oximeters: Proposal for an Experimental Test-Bench 

      Marchionni, Paolo; Nobile, Stefano; Carnielli, Virgilio P.; Scalise, Lorenzo (The American Society of Mechanical Engineers (ASME), 2021)
      Paramagnetic oximeters are frequently used in clinical practice to measure and titrate the fraction of inspired oxygen (FiO2) administered to a hypoxic patient. Newborns are prone to several diseases leading to hypoxia but ...
    • Prediction of Structural Reliability Through an Alternative Variability-Based Methodology 

      Haas, Kyle (The American Society of Mechanical Engineers (ASME), 2021)
      The often-competing goals of optimization and reliability design amplify the importance of verification, validation, and uncertainty quantification (VVUQ) to achieve sufficient reliability. Evaluation of a system's reliability ...
    • On the Validation of Turbulence Models for Wheel and Wheelhouse Aerodynamics 

      Nabutola, Kaloki L.; Boetcher, Sandra K. S. (The American Society of Mechanical Engineers (ASME), 2021)
      Vehicle aerodynamics plays an important role in reducing fuel consumption. The underbody contributes to around 50% of the overall drag of a vehicle. As part of the underbody, the wheels and wheelhouses contribute to ...
    • Verification of ansys and matlab Heat Conduction Results Using an “Intrinsically” Verified Exact Analytical Solution 

      McMasters, Robert L.; de Monte, Filippo; D'Alessandro, Giampaolo; Beck, James V. (The American Society of Mechanical Engineers (ASME), 2021)
      A two-dimensional (2D) transient thermal conduction problem is examined, and numerical solutions to the problem generated by ansys and matlab, employing the finite element (FE) method, are compared against an “intrinsically” ...
    • Development and Verification of an Enhanced Equation of State in TOUGH2 

      An, Cheng; Han, Yanhui; Liu, Hui-Hai; Sun, Zhuang (The American Society of Mechanical Engineers (ASME), 2021)
      A reservoir-geomechanics coupled simulation tool is required in the interpretation and prediction of stimulation and production performance of unconventional reservoirs in a physically rigorous manner. One such a coupled ...
    • Assessment of the Predictive Capability of VERA—CS for CASL Challenge Problems 

      Athe, Paridhi; Jones, Christopher; Dinh, Nam (The American Society of Mechanical Engineers (ASME), 2021)
      This paper describes the process for assessing the predictive capability of the Consortium for the advanced simulation of light-water reactors (CASL) virtual environment for reactor applications code suite (VERA—CS) for ...
    • Code Verification of Non-Newtonian Fluid Solvers for Single- and Two-Phase Laminar Flows 

      Lovato, Stefano; Toxopeus, Serge L.; Settels, Just W.; Keetels, Geert H.; Vaz, Guilherme (The American Society of Mechanical Engineers (ASME), 2021)
      The presence of complex fluids in nature and industrial applications combined with the rapid growth of computer power over the past decades has led to an increasing number of numerical studies of non-Newtonian flows. In ...
    • Errors Characterization of a RANS Simulation 

      Pasinato, Hugo D.; Krumrick, Ezequiel A. (The American Society of Mechanical Engineers (ASME), 2021)
      This research uses data from direct numerical simulation (DNS) to characterize the different errors associated with a Reynolds-averaged Navier–Stokes (RANS) simulation. The statistics from DNS (Reynolds stresses, kinetic ...
    • Simultaneous Bayesian Calibration and Engineering Design With an Application to a Vibration Isolation System 

      Ehrett, Carl; Brown, D. Andrew; Kitchens, Christopher; Xu, Xinyue; Platz, Roland; Atamturktur, Sez (The American Society of Mechanical Engineers (ASME), 2021)
      Calibration of computer models and the use of those design models are two activities traditionally carried out separately. This paper generalizes existing Bayesian inverse analysis approaches for computer model calibration ...
    • Adaptive Kriging Method for Uncertainty Quantification of the Photoelectron Sheath and Dust Levitation on the Lunar Surface 

      Wei, Xinpeng; Zhao, Jianxun; He, Xiaoming; Hu, Zhen; Du, Xiaoping; Han, Daoru (The American Society of Mechanical Engineers (ASME), 2021)
      This paper presents an adaptive Kriging based method to perform uncertainty quantification (UQ) of the photoelectron sheath and dust levitation on the lunar surface. The objective of this study is to identify the upper and ...
    • Validation Metrics for Fixed Effects and Mixed-Effects Calibration 

      Porter, Nathan W.; Maupin, Kathryn A.; Swiler, Laura P.; Mousseau, Vincent A. (The American Society of Mechanical Engineers (ASME), 2021)
      The modern scientific process often involves the development of a predictive computational model. To improve its accuracy, a computational model can be calibrated to a set of experimental data. A variety of validation ...
    • Using Bayesian Analysis to Quantify Uncertainty in Radiometer Measurements 

      Spinti, Jennifer P.; Smith, Sean T.; Smith, Philip J.; Harding, N. Stanley; Scheib, Kaitlyn; Draper, Teri S. (The American Society of Mechanical Engineers (ASME), 2021)
      We apply Bayesian inference to instrument calibration and experimental-data uncertainty analysis for the specific application of measuring radiative intensity with a narrow-angle radiometer. We develop a physics-based ...
    • A Nonstationary Uncertainty Model and Bayesian Calibration of Strain-Life Models 

      Dourado, Arinan; Irmak, Firat; Viana, Felipe A. C.; Gordon, Ali P. (The American Society of Mechanical Engineers (ASME), 2021)
      The Coffin–Manson–Basquin–Haford (CMBH) model is a well-accepted strain-life relationship to model fatigue life as a function of applied strain. In this paper, we propose a nonstationary uncertainty model for the CMBH ...
    • The Method of Rotated Solutions: A Highly Efficient Procedure for Code Verification 

      Horner, Marc (The American Society of Mechanical Engineers (ASME), 2021)
      Code verification provides mathematical evidence that the source code of a scientific computing software platform is free of bugs and that the numerical algorithms are consistent. The most stringent form of code verification ...
    • Quantifying Uncertainty in Warhead Design: How Machining Uncertainty Affects Weight and Center of Mass 

      White, R. D.; Fajardo, Danny; Doolittle, Craig (The American Society of Mechanical Engineers (ASME), 2021)
      In this work, we explore how uncertainty in component dimensions affects final product tolerances for warheads. We focus on quantifying uncertainties arising from the machining process and examine how they influence the ...
    • Local Truncation Error-Informed Code Verification 

      Krueger, Aaron M.; Mousseau, Vincent A.; Hassan, Yassin A. (The American Society of Mechanical Engineers (ASME), 2020)
      The method of manufactured solutions (MMS) has become increasingly popular in conducting code verification studies on predictive codes, such as nuclear power system codes and computational fluid dynamic codes. The reason ...
    • Multi-Element Stochastic Galerkin Method Based on Edge Detection for Uncertainty Quantification of Discontinuous Responses 

      Kawai, Shigetaka; Oyama, Akira (The American Society of Mechanical Engineers (ASME), 2020)
      We propose a new multi-element generalized polynomial chaos (MEgPC) method to minimize the computational costs required for the existing MEgPC to circumvent the Gibbs phenomenon in the presence of discontinuities in a ...
    • Truncation Error Based Mesh Optimization 

      Jackson, Charles W.; Roy, Christopher J.; Schrock, Christopher R. (The American Society of Mechanical Engineers (ASME), 2020)
      Truncation error is used to drive mesh adaptation in order to reduce the discretization error in solutions to a variety of 1D and 2D flow problems. The adaptation is performed using r-adaptation to move the mesh nodes in ...
    • Construction of a Code Verification Matrix for Heat Conduction With Finite Element Code Applications 

      Toptan, Aysenur; Porter, Nathan W.; Hales, Jason D.; Spencer, Benjamin W.; Pilch, Martin; Williamson, Richard L. (The American Society of Mechanical Engineers (ASME), 2020)
      When establishing the pedigree of a simulation tool, code verification is used to ensure that the implemented numerical algorithm is a faithful representation of its underlying mathematical model. During this process, ...
    • Code Verification of a Pressure-Based Solver for Subsonic Compressible Flows 

      Muralha, João; Eça, Luís; Klaij, Christiaan M. (The American Society of Mechanical Engineers (ASME), 2020)
      Although most flows in maritime applications can be modeled as incompressible, for certain phenomena like sloshing, slamming, and cavitation, this approximation falls short. For these events, it is necessary to consider ...