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ASME 2025 Verification, Validation, and Uncertainty Quantification Symposium

Front Matter

VVUQ2025 Front Matter

VVS 2025; V001T00A001https://doi.org/10.1115/VVUQ2025-FM1

Abstract

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Topics in VVUQ

An Open-Source Python Package for CFD Solution Verification

Justin Weinmeister, Devina P. Sanjaya

VVS 2025; V001T01A001https://doi.org/10.1115/VVUQ2025-151463

Abstract

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Topics: Computational fluid dynamics , Computer software , Errors , Simulation , Uncertainty , Computer simulation , Decision making , Design , Internet , Uncertainty quantification

Method of Manufactured Solutions to Verify 3D Least-Squares Finite Element Model of Generalized Newtonian Fluids

Namhee Kim, J.N. Reddy

VVS 2025; V001T01A002https://doi.org/10.1115/VVUQ2025-151690

Abstract

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Topics: Finite element model , Flow (Dynamics) , Fluids

Sensitivity Analysis and Uncertainty Quantification of a Digital Twin-Based Simulator for Small Modular and Microreactors

Zavier Ndum Ndum, Doyeong Lim, Yassin Hassan, Yang Liu

VVS 2025; V001T01A003https://doi.org/10.1115/VVUQ2025-152220

Abstract

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Topics: Digital twin , Sensitivity analysis , Uncertainty quantification

Validation Methods

VVUQ Metrics to Improve your Research

David R. Harrison, Kelsey Cannon

VVS 2025; V001T02A001https://doi.org/10.1115/VVUQ2025-151299

Abstract

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Topics: Feedback , Model validation , Physics , Uncertainty quantification

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

L. Joel Peltier, Urmila Ghia, Nima Fathi, Laura Savoldi, Kevin Dowding, Luís Eça

VVS 2025; V001T02A002https://doi.org/10.1115/VVUQ2025-152195

Abstract

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Topics: Computer simulation , Engineering simulation , Errors , Modeling , Physics , Scalars , Simulation , Uncertainty

Validation of Turbulent Mixing within a Pool-Type Reactor Chimney

Breken Wallar

VVS 2025; V001T02A003https://doi.org/10.1115/VVUQ2025-152559

Abstract

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Topics: Turbulence , Uncertainty quantification , Water , Flow (Dynamics) , Computational fluid dynamics , Computer software , Engineering simulation , Errors , Fluid dynamics , Geometry

Methods for Uncertainty Quantification, Sensitivity Analysis, and Prediction

Uncertainty Quantification by Probabilistic Analysis of Stirling Engine Performance

Rama Subba Reddy Gorla, John Brewer, Abdeel Roman

VVS 2025; V001T03A001https://doi.org/10.1115/VVUQ2025-151983

Abstract

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Topics: Stirling engines , Uncertainty quantification

Fluid Dynamics and Heat Transfer

Development of Heat Transfer Correlations for Downward-Facing Curved Surfaces Under Upward Flow Conditions

Sameer Osman, Imran Afgan, Yacine Addad

VVS 2025; V001T04A001https://doi.org/10.1115/VVUQ2025-152278

Abstract

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Topics: Computational fluid dynamics , Flow (Dynamics) , Heat transfer , Turbulence

Verifying VERTEX-CFD Simulations of Heated Lid-Driven Cavities

Sean Simonian, Marco Delchini, Kellis Kincaid, Ryan Glasby, Franklin Curtis

VVS 2025; V001T04A002https://doi.org/10.1115/VVUQ2025-152934

Abstract

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Topics: Cavities , Computational fluid dynamics , Engineering simulation , Simulation , Temperature , Boundary-value problems , Fluids , Approximation , Density , Magnetohydrodynamics

A Solution Verification Exercise for a Practical Application of a Coastal Hydrodynamics Model

Manuel Rentschler, Luís Eça, Guilherme Vaz

VVS 2025; V001T04A003https://doi.org/10.1115/VVUQ2025-153326

Abstract

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Topics: Errors , Hydrodynamics , Shorelines , Uncertainty

Solid Mechanics, Impact, and Blast

Using 3D Measurements from MRI to Improve VVUQ

Michael Benson, Thien Nguyen, Daniel Borup

VVS 2025; V001T05A001https://doi.org/10.1115/VVUQ2025-151136

Abstract

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Topics: Magnetic resonance imaging , Reynolds-averaged Navier–Stokes equations , Flow (Dynamics) , Computational fluid dynamics , Turbulence , Wakes , Water , Biomedicine , Channel flow , Engineering simulation

Combining Simulation Models Enabling Virtualized Testing of an Automated Driver Assistance Function

Sebastian Fricke, Steffen Joos, Mohamed Besher Baradi, Andreas Karl, Muhammed Atak, Andreas Kerst, Reto Köhler, Lajos Kocsan, Ulrich Schulmeister

VVS 2025; V001T05A002https://doi.org/10.1115/VVUQ2025-151244

Abstract

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Topics: Simulation models , Testing

Oceangate, the Titan Submersible, and the Role of VVUQ in Innovation

Bart Kemper

VVS 2025; V001T05A003https://doi.org/10.1115/VVUQ2025-152480

Abstract

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Topics: Innovation , Submersibles , Underwater vehicles

Artificial Intelligence and Machine Learning Models

Softmax-Based Deep Neural Network in Regression

Jeongwon Seo, Kevin T. Clarno

VVS 2025; V001T06A001https://doi.org/10.1115/VVUQ2025-151639

Abstract

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Topics: Artificial neural networks , Deep neural networks , Probability , Density , Machine learning , Approximation , Combined cycle power stations , Entropy , Noise (Sound) , Regression models

Wholistic Credibility Assessment of Machine Learning-Based Surrogate Model in an Aerodynamics Application

Jared Kirsch, William Rider, Nima Fathi

VVS 2025; V001T06A002https://doi.org/10.1115/VVUQ2025-152225

Abstract

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Topics: Aerodynamics , Aerospace industry , Airfoils , Artificial neural networks , Computational fluid dynamics , Computational physics , Engineering design , Machine learning , Machinery , Metamodeling

Critical Heat Flux Prediction and Uncertainty Quantification with Bayesian Optimized Deep Ensemble

Zaid Abulawi, Doyeong Lim, Yassin Hassan, Yang Liu

VVS 2025; V001T06A003https://doi.org/10.1115/VVUQ2025-152505

Abstract

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Topics: Artificial neural networks , Critical heat flux , Optimization , Uncertainty quantification

All Years

Front Matter

VVUQ2025 Front Matter

Topics in VVUQ

An Open-Source Python Package for CFD Solution Verification

Method of Manufactured Solutions to Verify 3D Least-Squares Finite Element Model of Generalized Newtonian Fluids

Sensitivity Analysis and Uncertainty Quantification of a Digital Twin-Based Simulator for Small Modular and Microreactors

Validation Methods

VVUQ Metrics to Improve your Research

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

Validation of Turbulent Mixing within a Pool-Type Reactor Chimney

Methods for Uncertainty Quantification, Sensitivity Analysis, and Prediction

Uncertainty Quantification by Probabilistic Analysis of Stirling Engine Performance

Fluid Dynamics and Heat Transfer

Development of Heat Transfer Correlations for Downward-Facing Curved Surfaces Under Upward Flow Conditions

Verifying VERTEX-CFD Simulations of Heated Lid-Driven Cavities

A Solution Verification Exercise for a Practical Application of a Coastal Hydrodynamics Model

Solid Mechanics, Impact, and Blast

Using 3D Measurements from MRI to Improve VVUQ

Combining Simulation Models Enabling Virtualized Testing of an Automated Driver Assistance Function

Oceangate, the Titan Submersible, and the Role of VVUQ in Innovation

Artificial Intelligence and Machine Learning Models

Softmax-Based Deep Neural Network in Regression

Wholistic Credibility Assessment of Machine Learning-Based Surrogate Model in an Aerodynamics Application

Critical Heat Flux Prediction and Uncertainty Quantification with Bayesian Optimized Deep Ensemble

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Most Read Proceedings Papers in VVS

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Proceedings Papers

Front Matter

Topics in VVUQ

Validation Methods

Methods for Uncertainty Quantification, Sensitivity Analysis, and Prediction

Fluid Dynamics and Heat Transfer

Solid Mechanics, Impact, and Blast

Artificial Intelligence and Machine Learning Models

Email alerts

Most Read Proceedings Papers in VVS

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

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