Volumes | Verification and Validation | American Society of Mechanical Engineers Digital Collection

Topics: Engineering simulation , Reynolds-averaged Navier–Stokes equations , Turbulence , Flow (Dynamics) , Eddies (Fluid dynamics) , Errors , Flat plates , Fluid dynamics , Momentum , Reynolds stress

Validation Methods

Probabilistic Deep Learning for Validation of Emergent Structures in Simulated Images

Bryan Kaiser, Kyle Hickmann

VVS 2023; V001T03A001https://doi.org/10.1115/VVUQ2023-108722

Abstract

View Articletitled, Probabilistic Deep Learning for Validation of Emergent Structures in Simulated Images

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Topics: Algorithms , Architecture , Artificial neural networks , Biomedicine , Complex systems , Density , Dimensions , Errors , Flow (Dynamics) , Multiphase flow

Methodology for Validation of Finite Element Analysis Utilizing Strain Gauge Measurements

Rafal Sulwinski, Rusty Johnston

VVS 2023; V001T03A002https://doi.org/10.1115/VVUQ2023-108749

Abstract

View Articletitled, Methodology for Validation of Finite Element Analysis Utilizing Strain Gauge Measurements

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Topics: Finite element analysis , Strain gages , Stress

VVUQ for Artificial Intelligence and Machine Learning Models

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

Kyle Hickmann, Skylar Callis, Stephen Andrews

VVS 2023; V001T04A001https://doi.org/10.1115/VVUQ2023-108759

Abstract

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

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Topics: Calibration , Copper , Damage , Artificial neural networks , Density , Explosives , Shock (Mechanics) , Simulation , Trains , Machine learning

VVUQ for Biomedical Engineering

Digital Image Correlation Validation of Finite Element Strain Analysis of Dental Implant Insertion for Two Implant Designs

Baixuan Yang, Ainara Irastorza-Landa, Peter Heuberger, Heidi-Lynn Ploeg

VVS 2023; V001T05A001https://doi.org/10.1115/VVUQ2023-107659

Abstract

View Articletitled, Digital Image Correlation Validation of Finite Element Strain Analysis of Dental Implant Insertion for Two Implant Designs

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Topics: Finite element analysis

VVUQ for Fluid Dynamics and Heat Transfer

Validation and Verification Analyses of Turbulent Forced Convection of Na and NaK in Miniature Heat Sinks

Baixuan Pourghasemi, Nima Fathi

VVS 2023; V001T06A001https://doi.org/10.1115/VVUQ2023-108819

Abstract

View Articletitled, Validation and Verification Analyses of Turbulent Forced Convection of Na and NaK in Miniature Heat Sinks

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Topics: Forced convection , Heat sinks , Turbulence , Convection , Reynolds number , Uncertainty , Computer simulation , Liquid metals , Stainless steel

VVUQ for Nuclear Applications

Numerical Assessment of Hydraulic Properties of Triply Periodic Minimal Surfaces Structures

Cecilia Piatti, Laura Savoldi, Nima Fathi

VVS 2023; V001T07A001https://doi.org/10.1115/VVUQ2023-108794

Abstract

View Articletitled, Numerical Assessment of Hydraulic Properties of Triply Periodic Minimal Surfaces Structures

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Topics: Computational fluid dynamics , Dimensions , Experimental analysis , Flow (Dynamics) , Friction , Porosity , Shapes , Thermal hydraulics , Uncertainty , Water

Using Code Adequacy Methodologies in Confomance with ASME Standards for Nuclear Power Plant Analysis Evaluation Models

Richard R. Schultz, George L. Mesina

VVS 2023; V001T07A002https://doi.org/10.1115/VVUQ2023-108796

Abstract

View Articletitled, Using Code Adequacy Methodologies in Confomance with ASME Standards for Nuclear Power Plant Analysis Evaluation Models

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Topics: ASME Standards , Computational fluid dynamics , Nuclear power stations , Systems analysis , Cycles , Design , Accidents , Boilers , Boiling water reactors , Control systems

VVUQ for Solid Mechanics, Structures, Impact, and Blast

Impact Limiter Computer Simulation and Verification by Drop Tests

Kalyan K. Niyogi, Xuejun Zhai

VVS 2023; V001T08A001https://doi.org/10.1115/VVUQ2023-108557

Abstract

View Articletitled, Impact Limiter Computer Simulation and Verification by Drop Tests

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Topics: Accidents , Collapse , Computer simulation , Cushioning materials , Design , Engineering prototypes

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

Stephen A. Andrews, Brandon M. Wilson

VVS 2023; V001T08A002https://doi.org/10.1115/VVUQ2023-108829

Abstract

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

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Topics: Calibration , Copper , Strength (Materials) , Uncertainty , Temperature , Simulation , Deformation , Electrical conductivity , Melting , Model development

All Years

Front Matter

VVUQ2023 Front Matter

Methods for Uncertainty Quantification, Sensitivity Analysis, and Prediction

Uncertainty Reduction in Fatigue Life Validation Testing for Drilling Tools with a Universal Runout Compensator

Topics in Verification, Validation & Uncertainty Quantification

Application of VVUQ Concepts to ASME Codes and Standards for Pressure Vessels

Attaining the Asymptotic Range in Rans Simulations

Validation Methods

Probabilistic Deep Learning for Validation of Emergent Structures in Simulated Images

Methodology for Validation of Finite Element Analysis Utilizing Strain Gauge Measurements

VVUQ for Artificial Intelligence and Machine Learning Models

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

VVUQ for Biomedical Engineering

Digital Image Correlation Validation of Finite Element Strain Analysis of Dental Implant Insertion for Two Implant Designs

VVUQ for Fluid Dynamics and Heat Transfer

Validation and Verification Analyses of Turbulent Forced Convection of Na and NaK in Miniature Heat Sinks

VVUQ for Nuclear Applications

Numerical Assessment of Hydraulic Properties of Triply Periodic Minimal Surfaces Structures

Using Code Adequacy Methodologies in Confomance with ASME Standards for Nuclear Power Plant Analysis Evaluation Models

VVUQ for Solid Mechanics, Structures, Impact, and Blast

Impact Limiter Computer Simulation and Verification by Drop Tests

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

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Proceedings Papers

Front Matter

Methods for Uncertainty Quantification, Sensitivity Analysis, and Prediction

Topics in Verification, Validation & Uncertainty Quantification

Validation Methods

VVUQ for Artificial Intelligence and Machine Learning Models

VVUQ for Biomedical Engineering

VVUQ for Fluid Dynamics and Heat Transfer

VVUQ for Nuclear Applications

VVUQ for Solid Mechanics, Structures, Impact, and Blast

Email alerts

Most Read Proceedings Papers in VVS

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

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