SUCCESSIVE PROCEDURE FOR SOLUTION VERIFICATION BASED ON USER NEEDS

Justin Weinmeister, Devina P. Sanjaya

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper discusses a revised solution verification procedure for computational fluid dynamics simulations to estimate the uncertainties in the quantities of interest based on discretization error models. This proposed procedure builds upon current procedures described in ASME V&V 20 but provides more guidance in determining the necessary number of mesh levels to build reliable discretization error models. Such guidance is particularly useful for practicing engineers without prior experience in solution verification. The key features of this proposed solution verification procedure are the ability to determine the need for additional mesh levels iteratively and the seamless treatment for underdetermined, exact, and overdetermined solutions of the power series approximation to the discretization error models. This study applies the proposed procedure to a set of synthetic examples to demonstrate the revised procedure’s clarity in determining the number of mesh solutions required for a reliable estimate of the discretization error in computational fluid dynamics settings. Additionally, this proposed procedure prevents a potential pathway in the current procedure in ASME V&V 20 that may lead to unreasonably small discretization errors.

Original languageEnglish
Title of host publicationProceedings of 2024 Verification, Validation, and Uncertainty Quantification Symposium, VVUQ 2024
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791887769
DOIs
StatePublished - 2024
Event2024 Verification, Validation, and Uncertainty Quantification Symposium, VVUQ 2024 - College Station, United States
Duration: May 15 2024May 17 2024

Publication series

NameProceedings of 2024 Verification, Validation, and Uncertainty Quantification Symposium, VVUQ 2024

Conference

Conference2024 Verification, Validation, and Uncertainty Quantification Symposium, VVUQ 2024
Country/TerritoryUnited States
CityCollege Station
Period05/15/2405/17/24

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