1-18 of 18
Physics
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Verifying VERTEX-CFD Simulations of Heated Lid-Driven Cavities

Free

Sean Simonian, Marco Delchini, Kellis Kincaid, Ryan Glasby, Franklin Curtis
Proc. ASME. VVUQ2025, ASME 2025 Verification, Validation, and Uncertainty Quantification Symposium, V001T04A002, April 9–11, 2025
Publisher: American Society of Mechanical Engineers
Paper No: VVUQ2025-152934
https://doi.org/10.1115/VVUQ2025-152934
View Paper titled, Verifying VERTEX-CFD Simulations of Heated Lid-Driven Cavities
Open the PDF for Verifying VERTEX-CFD Simulations of Heated Lid-Driven Cavities in another window
Topics: Cavities, Computational fluid dynamics, Engineering simulation, Simulation, Temperature, Boundary-value problems, Fluids, Approximation, Density, Magnetohydrodynamics
Proceedings Papers

VVUQ Metrics to Improve your Research

Free

David R. Harrison, Kelsey Cannon
Proc. ASME. VVUQ2025, ASME 2025 Verification, Validation, and Uncertainty Quantification Symposium, V001T02A001, April 9–11, 2025
Publisher: American Society of Mechanical Engineers
Paper No: VVUQ2025-151299
https://doi.org/10.1115/VVUQ2025-151299
View Paper titled, VVUQ Metrics to Improve your Research
Open the PDF for VVUQ Metrics to Improve your Research in another window
Topics: Feedback, Model validation, Physics, Uncertainty quantification
Proceedings Papers

Use of Regression to Extend ASME V&V20 Validation Metrics from Validation Points to an Application Point

Free

L. Joel Peltier, Urmila Ghia, Nima Fathi, Laura Savoldi, Kevin Dowding, Luís Eça
Proc. ASME. VVUQ2025, ASME 2025 Verification, Validation, and Uncertainty Quantification Symposium, V001T02A002, April 9–11, 2025
Publisher: American Society of Mechanical Engineers
Paper No: VVUQ2025-152195
https://doi.org/10.1115/VVUQ2025-152195
View Paper titled, Use of Regression to Extend ASME V&V20 Validation Metrics from Validation Points to an Application Point
Open the PDF for Use of Regression to Extend ASME V&V20 Validation Metrics from Validation Points to an Application Point in another window
Topics: Computer simulation, Engineering simulation, Errors, Modeling, Physics, Scalars, Simulation, Uncertainty
Proceedings Papers

Modeling and Assessment for the Estimation of Heat Transfer Coefficients on Curved Downwards-Facing Heated Walls in Application to ERVC

Free

Sameer Osman, Imran Afgan, Yacine Addad
Proc. ASME. VVUQ2024, ASME 2024 Verification, Validation, and Uncertainty Quantification Symposium, V001T02A001, May 15–17, 2024
Publisher: American Society of Mechanical Engineers
Paper No: VVUQ2024-132689
https://doi.org/10.1115/VVUQ2024-132689
View Paper titled, Modeling and Assessment for the Estimation of Heat Transfer Coefficients on Curved Downwards-Facing Heated Walls in Application to ERVC
Open the PDF for Modeling and Assessment for the Estimation of Heat Transfer Coefficients on Curved Downwards-Facing Heated Walls in Application to ERVC in another window
Topics: Computational fluid dynamics, Heat transfer, Heat transfer coefficients, Modeling, Turbulence, Accidents, Boiling, Flow (Dynamics), Reactor vessels, Cavities
Proceedings Papers

Physics-Guided Bayesian Neural Networks and Their Application in ODE Problems

Free

Xinyue Xu, Suman Paneru, Sez A. Russcher, Julian Wang
Proc. ASME. VVUQ2024, ASME 2024 Verification, Validation, and Uncertainty Quantification Symposium, V001T01A001, May 15–17, 2024
Publisher: American Society of Mechanical Engineers
Paper No: VVUQ2024-122961
https://doi.org/10.1115/VVUQ2024-122961
View Paper titled, Physics-Guided Bayesian Neural Networks and Their Application in ODE Problems
Open the PDF for Physics-Guided Bayesian Neural Networks and Their Application in ODE Problems in another window
Topics: Artificial neural networks, Physics
Proceedings Papers

Training and Interpretability of Deep-Neural Methods for Damage Calibration in Copper.

Free

Kyle Hickmann, Skylar Callis, Stephen Andrews
Proc. ASME. VVUQ2023, ASME 2023 Verification, Validation, and Uncertainty Quantification Symposium, V001T04A001, May 17–19, 2023
Publisher: American Society of Mechanical Engineers
Paper No: VVUQ2023-108759
https://doi.org/10.1115/VVUQ2023-108759
View Paper titled, Training and Interpretability of Deep-Neural Methods for Damage Calibration in Copper.
Open the PDF for Training and Interpretability of Deep-Neural Methods for Damage Calibration in Copper. in another window
Topics: Calibration, Copper, Damage, Artificial neural networks, Density, Explosives, Shock (Mechanics), Simulation, Trains, Machine learning
Proceedings Papers

Variational Bayesian Calibration of a PTW Material Strength Model for OFHC Copper

Free

Stephen A. Andrews, Brandon M. Wilson
Proc. ASME. VVUQ2023, ASME 2023 Verification, Validation, and Uncertainty Quantification Symposium, V001T08A002, May 17–19, 2023
Publisher: American Society of Mechanical Engineers
Paper No: VVUQ2023-108829
https://doi.org/10.1115/VVUQ2023-108829
View Paper titled, Variational Bayesian Calibration of a PTW Material Strength Model for OFHC Copper
Open the PDF for Variational Bayesian Calibration of a PTW Material Strength Model for OFHC Copper in another window
Topics: Calibration, Copper, Strength (Materials), Uncertainty, Temperature, Simulation, Deformation, Electrical conductivity, Melting, Model development
Proceedings Papers

Linking Material Models Between Codes: Establishing Thermodynamic Consistency

Free

Joanne Budzien, James Byerly, Rob Aulwes, Rao Garimella, Angela Herring, Jon Woodring
Proc. ASME. VVUQ2022, ASME 2022 Verification, Validation, and Uncertainty Quantification Symposium, V001T07A002, May 25–26, 2022
Publisher: American Society of Mechanical Engineers
Paper No: VVS2022-86808
https://doi.org/10.1115/VVS2022-86808
View Paper titled, Linking Material Models Between Codes: Establishing Thermodynamic Consistency
Open the PDF for Linking Material Models Between Codes: Establishing Thermodynamic Consistency in another window
Topics: Computer software, Cylinders, Deformation, Density, Errors, Interpolation, Materials properties, Phase diagrams, Physics, Simulation
Proceedings Papers

Bayesian Calibrating Educational Building Thermal Models to Hourly Indoor Air Temperature: Methodology and Case Study

Free

Danlin Hou, Chang Shu, Lili Ji, Ibrahim Galal Hassan, Liangzhu (Leon) Wang
Proc. ASME. VVS2021, ASME 2021 Verification and Validation Symposium, V001T03A001, May 19–20, 2021
Publisher: American Society of Mechanical Engineers
Paper No: VVS2021-65268
https://doi.org/10.1115/VVS2021-65268
View Paper titled, Bayesian Calibrating Educational Building Thermal Models to Hourly Indoor Air Temperature: Methodology and Case Study
Open the PDF for Bayesian Calibrating Educational Building Thermal Models to Hourly Indoor Air Temperature: Methodology and Case Study in another window
Topics: Calibration, Temperature, Air conditioning, Building codes, Chain, Climate change, Diseases, Errors, Physics, Sensitivity analysis
Proceedings Papers

Response Effects Due to Polygonal Representation of Pores in Porous Media Thermal Models

Free

Kevin W. Irick, Nima Fathi
Proc. ASME. VVS2021, ASME 2021 Verification and Validation Symposium, V001T09A001, May 19–20, 2021
Publisher: American Society of Mechanical Engineers
Paper No: VVS2021-65231
https://doi.org/10.1115/VVS2021-65231
View Paper titled, Response Effects Due to Polygonal Representation of Pores in Porous Media Thermal Models
Open the PDF for Response Effects Due to Polygonal Representation of Pores in Porous Media Thermal Models in another window
Topics: Porous materials, Errors, Finite element methods, Geometry, Uncertainty, Computer simulation, Construction, Engineering models, Engineering simulation, Engineering systems and industry applications
Proceedings Papers

Improving the Interpretability of Physics-Based Bias in Material Models

Free

Evan Chodora, Garrison Flynn, Trevor Tippetts, Cetin Unal
Proc. ASME. VVS2020, ASME 2020 Verification and Validation Symposium, V001T03A002, May 20–22, 2020
Publisher: American Society of Mechanical Engineers
Paper No: VVS2020-8816
https://doi.org/10.1115/VVS2020-8816
View Paper titled, Improving the Interpretability of Physics-Based Bias in Material Models
Open the PDF for Improving the Interpretability of Physics-Based Bias in Material Models in another window
Topics: Calibration, Deformation, Dynamic testing (Materials), Physics, Plasticity, Stainless steel, Stress, Testing
Proceedings Papers

Limiting Machine Learning Overfitting Uncertainties Through Persistent Homology

Free

Kyle Haas
Proc. ASME. VVS2020, ASME 2020 Verification and Validation Symposium, V001T08A001, May 20–22, 2020
Publisher: American Society of Mechanical Engineers
Paper No: VVS2020-8833
https://doi.org/10.1115/VVS2020-8833
View Paper titled, Limiting Machine Learning Overfitting Uncertainties Through Persistent Homology
Open the PDF for Limiting Machine Learning Overfitting Uncertainties Through Persistent Homology in another window
Topics: Machine learning, Uncertainty, Manifolds, Physics, Algebra, Artificial neural networks, Engineering design, Lenses (Optics), Machine testing, Noise (Sound)
Proceedings Papers

Radiation Transport Simulation Results Assessment Through Comparison With Reduced Complexity Analytic and Computational Models (LA-UR-20-22342)

Free

Tyler J. Remedes, Scott D. Ramsey, Joseph H. Schmidt, James Baciak
Proc. ASME. VVS2020, ASME 2020 Verification and Validation Symposium, V001T12A001, May 20–22, 2020
Publisher: American Society of Mechanical Engineers
Paper No: VVS2020-8812
https://doi.org/10.1115/VVS2020-8812
View Paper titled, Radiation Transport Simulation Results Assessment Through Comparison With Reduced Complexity Analytic and Computational Models (LA-UR-20-22342)
Open the PDF for Radiation Transport Simulation Results Assessment Through Comparison With Reduced Complexity Analytic and Computational Models (LA-UR-20-22342) in another window
Topics: Computer simulation, Radiation (Physics), Simulation results, Neutron flux, Physics, Spent nuclear fuels, Storms
Proceedings Papers

Analytic Solutions As a Tool for Verification and Validation of a Multiphysics Model

Free

I. L. Tregillis, Aaron Koskelo
Proc. ASME. VVS2019, ASME 2019 Verification and Validation Symposium, V001T04A001, May 15–17, 2019
Publisher: American Society of Mechanical Engineers
Paper No: VVS2019-5137
https://doi.org/10.1115/VVS2019-5137
View Paper titled, Analytic Solutions As a Tool for Verification and Validation of a Multiphysics Model
Open the PDF for Analytic Solutions As a Tool for Verification and Validation of a Multiphysics Model in another window
Topics: Ambiguity, Computer simulation, Continuum mechanics, Fluids, Mass measurement, Measurement uncertainty, Metals, Physicists, Physics, Simulation
Proceedings Papers

Exploring the Uncertainty in the Equation of State for a High Explosive Fit to Heterogeneous Data

Free

Stephen A. Andrews, Andrew M. Fraser, Scott I. Jackson, Eric K. Anderson
Proc. ASME. VVS2019, ASME 2019 Verification and Validation Symposium, V001T06A001, May 15–17, 2019
Publisher: American Society of Mechanical Engineers
Paper No: VVS2019-5124
https://doi.org/10.1115/VVS2019-5124
View Paper titled, Exploring the Uncertainty in the Equation of State for a High Explosive Fit to Heterogeneous Data
Open the PDF for Exploring the Uncertainty in the Equation of State for a High Explosive Fit to Heterogeneous Data in another window
Topics: Equations of state, Explosives, Uncertainty, Calibration, Temperature, Density, Explosions, Metals, Optimization, Physics
Proceedings Papers

Sequential Bayesian History Matching for Model Calibration

Free

Paul Gardner, Charles Lord, Robert J. Barthorpe
Proc. ASME. VVS2019, ASME 2019 Verification and Validation Symposium, V001T06A004, May 15–17, 2019
Publisher: American Society of Mechanical Engineers
Paper No: VVS2019-5149
https://doi.org/10.1115/VVS2019-5149
View Paper titled, Sequential Bayesian History Matching for Model Calibration
Open the PDF for Sequential Bayesian History Matching for Model Calibration in another window
Topics: Calibration, Computers, Errors, Uncertainty, Accounting, Physics
Proceedings Papers

Experimental Calibration of a Biohydrogen Production Estimation Model

Free

Fernando G. Dias, Jose V. C. Vargas, Sam Yang, Vanessa M. Kava, Wellington Balmant, Andre B. Mariano, Juan C. Ordonez
Proc. ASME. VVS2018, ASME 2018 Verification and Validation Symposium, V001T03A004, May 16–18, 2018
Publisher: American Society of Mechanical Engineers
Paper No: VVS2018-9341
https://doi.org/10.1115/VVS2018-9341
View Paper titled, Experimental Calibration of a Biohydrogen Production Estimation Model
Open the PDF for Experimental Calibration of a Biohydrogen Production Estimation Model in another window
Topics: Biomass, Calibration, Differential equations, Heat transfer, Hydrogen, Hydrogen production, Physics, Temperature, Thermodynamics
Proceedings Papers

Separability of Mesh Bias and Parametric Uncertainty for a Full System Thermal Analysis

Free

Benjamin B. Schroeder, Humberto Silva, III, Kyle D. Smith
Proc. ASME. VVS2018, ASME 2018 Verification and Validation Symposium, V001T04A003, May 16–18, 2018
Publisher: American Society of Mechanical Engineers
Paper No: VVS2018-9339
https://doi.org/10.1115/VVS2018-9339
View Paper titled, Separability of Mesh Bias and Parametric Uncertainty for a Full System Thermal Analysis
Open the PDF for Separability of Mesh Bias and Parametric Uncertainty for a Full System Thermal Analysis in another window
Topics: Thermal analysis, Uncertainty, Simulation, Errors, Uncertainty quantification, Aerospace industry, Engineering systems and industry applications, Geometry, Materials properties, Physics