Session: 11-52-01: Computational Thermal/Fluids

Paper Number: 100117

100117 - Overview of Asme V&v20-2009, Standard for Verification and Validation in Computational Fluid Dynamics and Heat Transfer 

Model verification and validation (V&V) are enabling technologies used to quantify the accuracy of results from computational models that inform engineering decisions. Model V&V procedures are needed by government and industry to reduce the time, cost, and risk associated with full-scale testing of products, materials, and complex systems. Quantifying the accuracy of model calculations provides the decision-maker with the information necessary for making high-consequence decisions. The development of guidelines and procedures for conducting a model V&V program are currently being defined by a broad spectrum of researchers.

ASME has been developing engineering standards on the topics of verification, validation, and uncertainty quantification (VVUQ) since about 2002. Standards are in development in many engineering areas: Computational Solid Mechanics, Computational Heat Transfer and Fluid Dynamics, Computational Simulation of Nuclear System Thermal Fluids Behavior, Computational Modeling of Medical Devices, Computational Modeling for Advanced Manufacturing, Computational Modeling for Energy Systems, and Machine Learning. I will present an overview of VVUQ standards development as a part of ASME Codes and Standards (C&S). Standard development relies on volunteers to contribute and develop content in the various technical areas.

This talk is to make the engineering community aware of VVUQ standards that have been published by ASME. I shall overview the various published standards. Providing a description of the scope, content, and guidance of these document. In addition, examples will be discussed. ASME is interested to solicit folks to join the committees developing VVUQ standards and provide feedback on the use and needs for the current and future standards.

A group of ASME members from industry, academia and national labs initiated a volunteer effort to merge the uncertainty analysis activities of the experimental and computational communities. The objective was to provide a methodology by which a quantitative assessment could be made about validation of computational software for fluid dynamics and heat transfer. The elements identified as necessary for validation include A) code verification and solution verification, B) effect of input parameter uncertainty on simulation uncertainty, C) uncertainty of an experimental result and D) a metric by which experimental and simulation uncertainties can be compared. It is important to understand that validation requires both an experiment with its associated uncertainty and a simulation with its associated uncertainty. The presentation will give an overview of the verification and validation process. The specific validation elements will be briefly described along with how each element fits into the overall validation process. This talk should provide a starting point for the validation of computational tools for CFD.

Presenting Author: Kevin Dowding Sandia

Presenting Author Biography: Kevin Dowding is a member of the technical staff in the Verification, Validation, Uncertainty Quantification, and Credibility Processes Department at Sandia National Laboratories. He has worked the past 20+ years on the application of verification and validation to computational modeling. He has led and participated on projects spanning complex modeling applications across various engineering disciplines and as a part of model-based risk assessment. He is active in the ASME V&V Standards community and Heat Transfer Division.

Authors:

Kevin Dowding Sandia