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ProjectPurpose/ScopeUpdate% Complete StageTarget Date for PublicationRecord # (TR)Ballot # (B)
VVUQ Standards CommitteeVVUQ 1 – Verification, Validation, and Uncertainty Quantification Terminology in Computational Modeling and SimulationASME VVUQ 1 provides a harmonized set of definitions for verification, validation, and uncertainty quantification (VVUQ) concepts. ANSI Approved: August 8, 2022100%PublishedFirst Edition2022TR 19-2694B 21-617RC101
VVUQ 10Verification, Validation, and Uncertainty Quantification in Computational Solid Mechanics
V&V 10Standard for Verification and Validation in Computational Solid MechanicsThe purpose of this Standard is to provide the CSM community with a common language, a conceptual framework, and general guidance for implementing the processes of computational model V&V. To this end, this Standard includes a glossary of terms, figures illustrating the recommended overall approach to V&V activities, and discussions of factors that should be considered when developing and executing a V&V program. To maximize the value to the engineering community, the ASME V&V 10 Subcommittee chose to write this Standard from the perspective of V&V for high-consequence computational predictions of complex engineering systems. However, the guidance provided here is also appropriate for simple applications, though it is understood that smaller budgets and lower risks will reduce the scope of the V&V effort. While the concepts and terminology presented here are applicable to all applied mechanics, the focus is on CSM.ANSI Approved: July 23, 2019PublishedNext Edition 2024
VVUQ 10.1An Illustration of the Concepts of Verification and Validation in Computational Solid Mechanics (previous edition: V&V 10.1-2012)The purpose of this document is to illustrate, by detailed example, the most important aspects of V&V described in the Committee’s framework document, Standard for Verification and Validation in Computational Solid Mechanics (V&V 10). Before the revised draft can be balloted V&V 10.1-2012 needs to be reaffirmed since it was last approved by ANSI 10 years ago.The reaffirmation of V&V 10-2012 was ANSI approved on February 28, 2022. The standards committee/subcommittee ballot was disapproved and comments were submitted.50%Revision DevelopmentNext Edition 2022TR 22-713B 22-920
VVUQ 10.2The Role of Uncertainty Quantification in Verification and Validation of Computational Solid Mechanics ModelsThis Standard describes the role of UQ in modeling/simulation and experimentation. UQ in modeling and simulation includes consideration of model-form uncertainties, numerical solution uncertainties, model input uncertainties, and uncertainties in model-basis data. In addition, propagation of uncertainties is an integral part of UQ in modeling and simulation. UQ plays an important role in experimentation, therefore key considerations in planning validation experiments are discussed, since these experiments are specifically planned and performed to assess the predictive capability of a computational model. A brief discussion of UQ in hierarchical CSM models is provided, as well as an overview of the role of UQ in revisions to either the computational model or the validation experiment. ANSI Approved: December 13, 2021Published May 30, 2022100%ANSI ApprovedFirst Edition 2021TR 19-1476B 19-1557RC101
VVUQ 10.3The Role of Validation Metrics in Computational Solid Mechanics ModelsThe purpose of the present supplement is to provide a primer on quantitative metrics used within the validation process described in ASME V&V 10-2019. As a primer, this document aims at provides background, guidance and illustrative examples rather than an exhaustive compendium of possible metrics. The user is encouraged to treat this document as a pedagogic tool introducing the main metrics for practical use and associated limitations, as well as a guide for thoughtful selection and use of the most relevant metrics.Meeting Monthly to discuss draft.40%Draft DevelopmentFirst Edition 2023TR-08-1328
VVUQ 10.XThe Role of Verification, Validation, and Uncertainty Quantification in Credibility for the Decision-Making ProcessProject Identified
V&V 10.4 - Role of Verification Methods in Verification and Validation of Computational Solid Mechanics ModelsProject IdentifiedTR-09-440
V&V 10.5 - Role of Validation Methods in Verification and Validation of Computational Solid Mechanics ModelsProject IdentifiedTR-09-441
V&V 10.6 - Defining Model Credibility for Intended Model Usage in Verification and Validation of ComputationalSolid Mechanics ModelsProject IdentifiedTR-09-442
V&V 10.7 - Role of Model Revision in Verification and Validation of Computational Solid Mechanics ModelsProject IdentifiedTR-09-443
V&V 10.8 - A End-to-End Example of Hierarchical Verification and Validation of Computational Solid MechanicsProject IdentifiedTR-09-1435
VVUQ 20Verification, Validation, and Uncertainty Quantification in Computational Fluid Dynamics and Heat Transfer
V&V20-2009 (Reaffirmed 2021)Standard for Verification and Validationin Computational FluidDynamics and Heat TransferThis standard provides a procedure to estimate the modeling error of a quantity of interest determined by a mathematical model used to simulate the same physical reality. The procedure can be applied to any quantity defined by a scalar and it produces an interval centered at the difference between the simulation and the experimental data that quantifies the physical reality with a width that depends on the experimental, numerical and input uncertainties.There were two related papers developed on this topic:On the Interpretation and Scope of the V&V 20 Standard for Verification and Validation in Computational Fluid Dynamics and Heat Transfer (JVVUQ, March 24, 2022, paper VVUQ-20-1051)Comparison of the V&V10.1 and V&V20 Validation Procedures for the V&V10.1 Example (JVVUQ, March 15, 2022, paper VVUQ-22-1003)Project defined2023/2024
VVUQ 20.1Multivariate Metrics - Supplement 2 of ASME V&V 20 - Standard for Verification and Validation in Computational Fluid Dynamics and Heat TransferV&V 20-2009 presents a validation approach for estimating a range within which model error lies considering the uncertainties in the experiment, in the numerical solution of the model implementation, and in the simulation inputs. The committee which developed that document limited its initial consideration to validation of a specific variable at a single validation set point. The specific variable can be a directly-measured single variable, a dimensional variable determined from a combination of other measured variables, or a dimensionless variable (such as Nusselt number or friction coefficient) determined from a combination of other variables.This supplement extends that consideration to use of validation results from multiple set points within an application domain. The extension is the use of a multivariate metric. Multivariate metrics are designed to assess the capability of a model using experimental data and simulation results from more than one validation set point. This might be from multiple set points over space and/or time for a multidimensional case, for example. Ballot #18-3672 for V&V and V&V20 approval closed January 14, 2019PINS #388Document rewritten in response to ballot commentsIn Fall 2022: VVUQ Standards Committee first consideration ballot #22-2843 was disapproved and comments were received. August 2023 Update: New First Consideration Ballot # 23-2311 was issued.75%Standards Committee BallotFirst Edition 2023TR-18-2901B 23-2311
VVUQ 20.2Regression of Validation Results
VVUQ 20.3Solution Verification of Unsteady Flow Calculations SupplementMarch 2023 update: Plan to incorporate VVUQ 20.3 into the revision of V&V 20 – 2019.
Simulation at an Application PointThis supplement extends V&V 20 (2009) to use validation results from multiple set points within an application domain. The extension addressed is the use of validation results regressed to an application point within an application domain. An application point is commonly a set point at which a validation has not been performed. Detailed outline drafted.PINS #389Defined working group
VVUQ 30Verification, Validation, and Uncertainty Quantification in Computational Simulation of Nuclear System Thermal Fluids Behavior
VVUQ 30.1-20XXScaling Methodologies for Prototypical Nuclear Power Systems Response - GuideThis Guide addresses the complexity of scaling effects and sub-scale validation experiments on a corresponding full-scale system and how they impact simulation validation. The focus of this Guide is on scaling methodologies for supporting the design of facilities capable of generating data that characterize the phenomena, determined to be high-ranked in phenomena identification and ranking (PIRT) studies for a transient of interest for both the entire plant [such facilities are known as integral effects test (IETs) facilities] and for components of the plant such as the nuclear core or the steam generator [such facilities are known as separate effects test (SETs) facilities]. Comments from the VVUQ Standards Committee first consideration ballot comments were addressed.Update: VVUQ Standards Committee and VVUQ 30 Subcommittee #20-3805RC102 was approved with comments. Comments were addressed and clarifications were made in the draft, which will proceed to Public Review and Recirculation Ballot.90%Standards Committee ApprovedFirst Edition 2023TR 20-2804B 20-3805RC102
Historical context of the subcommittee, seeking input from contributors in the field Still in discussion
1st Bench mark problem – manuscript underway from V&V Symposium 5/3/2017These examples will demonstrate the protocols used by the community
2nd Bench mark problem V&V Symposium 2020 – Paper submission to JVVUQ
3rd Benchmark Problem - Isothermal Single Jet Experiment and/or Non-Isothermal Single Jet Experiment within the Upper Plenum
VVUQ 40Verification, Validation, and Uncertainty Quantification in Computational Modeling of Medical Devices
V&V 40 Assessing the Credibility of Computational Modeling through Verification and Validation: Application to Medical Devices The scope of the Standard encompasses physics-based computational models used for medical device applications. This Standard augments other standards that present V&V methodologies, such as ASME V&V 10 and ASME V&V 20. Therefore, this Standard is intended for the practitioner who is familiar with V&V terminology. It does not present a method for incorporating user expertise or modeler pedigree, nor does it describe the specific V&V activities and rigor that are needed to establish credibility for a particular application and/or device. Instead, this Standard presents a framework for the practitioner to make that assessment using sound engineering judgment. This Standard is not a step-by-step guide, nor is it intended to present a quantitative method for establishing model credibility. While the framework was developed specifically for medical devices, the V&V 40 Subcommittee considers this Standard to be general enough to be applied to other disciplines.Published November 19, 2018Plans for a revision of V&V 40 – 2018 are underway. See “VVUQ 40.6” below for future updates.
VVUQ 40.1Using (historical) clinical data as a comparatorPINS #701This item is in publication as a journal paper:Briant et al., “Use of real-world data for model credibility: Applications to medical device development”, Journal of Medical Devices 16, 031001-1-9, September 2022100%Technical PublicationPaper published 2022
VVUQ 40.2Assessing Computational Model Credibility Using the ASME VVUQ 40 Risk-Based Framework:Tibial Tray Component Worst-Case Size Identification for Fatigue Testing Technical ReportStandards Committee Ballot 21-3306 for VVUQ 40.2 was disapproved by the VVUQ Standards Committee and comments were received. Update: First Consideration Ballot # 23-1383 was disapproved by the VVUQ Standards Committee and VVUQ 40 Subcommittee75%Standards Committee BallotFirst Edition 2021TR 19-1006B23-1383
VVUQ 40.3VVUQ for patient-specific models: surgical planning and clinical-decision making - software as a medical devicePINs #690A ballot is planned for the 3rd quarter of 2022 for Credibility assessment of patient-specific models following ASME V&V40.The following related journal publication was developed and submitted to Annals of Biomedical Engineering. Stott et al., “A critical comparison of comparators used for credibility evaluation of physics-based numerical spine models”.50%Draft developmentFirst Edition 2022
VVUQ 40.4Verification best practicesCalculation Verification (Solids)PINs #691The following technical publication was developed and submitted to the Journal of Verification, Validation, and Uncertainty Quantification.Guler et al., “Two calculation verification metrics used in the medical device industry: Revisiting the limitations of fractional change”90%Technical Publication2022
VVUQ 40.4Verification best practicesCode Verification (Fluids)PINs #69125%Draft DevelopmentFirst Edition 2021
VVUQ 40.5Mock Submission – V&V 40 Practice in Regulatory Applications2 Technical Reports2 Documents FEA(50%) and CFD(10%)PINS #718See VVUQ 40.X items in rows above.Draft developmentFirst Edition 2021
VVUQ 40.6General methodology – Revisions to V&V 40Plans for a revision of V&V 40 – 2018 are underway.PINS #803
VVUQ 50Verification, Validation, and Uncertainty Quantification of Computational Modeling for Advanced Manufacturing
VVUQ 50Verification, Validation, AND Uncertainty Quantification of Computational Modeling for Advanced ManufacturingProcedures for verification, validation, and uncertainty quantification in modeling and computational simulation for advanced manufacturing. Four key areas they wish to develop to content: additive manufacturing, subtractive manufacturing, uncertainty in manufacturing, process controlPINS #674 issued July 2018.
Terminology, Concepts, Relationships and Taxonomy for VVUQ in Advanced Manufacturing. Terminology task nearing completion, Concepts, Relationships & Taxonomy task after submission of Terminology reportEarly 2021 for review by committee75%Draft DevelopmentFirst Edition 2022
VVUQ 50.1 Interactions with the Model Life Cycle Completed 1) Survey relevant literature on managing models2) Define the Model Life CycleWorking on 3) Map requirements flow and activities for maintaining VVUQFuture4) Draft Material for proposed standardDraft review mid-2021Update: Ballot # 22-3095 was approved by the VVUQ 50 subcommittee and comments were received. 50%Subcommittee BallotFirst Edition 2022TR22-1467B22-3095
VVUQ Methods in Data-driven and Hybrid models Mission: provide a framework and guidance to the VV-UQ issues/problems related to data-driven and hybrid models that the manufacturing industry tackles.25%Draft Development
VVUQ In-Process Technologies 10%Project Identified
VVUQ 60Verification, Validation, and Uncertainty Quantification of Computational Modeling in Energy Systems
VVUQ 60.1Considerations and Questionnaire for Simulation Software Selection An ASME Guideline DocumentUpdate: VVUQ Standards Committee and VVUQ 60 Subcommittee #20-3805RC101 was approved with comments.90%Standards Committee ApprovedFirst Edition 2021TR 20-2507B 20-3732RC1
VVUQ 60.2Guideline on Verification and Validation of Computational Modeling in Energy Systems10%Draft DevelopmentFirst Edition 2022
VVUQ 70 Verification, Validation, and Uncertainty Quantification of Machine LearningDefining Terminology and ScopingProject identified
VVUQ 80Verification, Validation, and Uncertainty Quantification in Computational Modeling of Pharmaceutical Products
VVUQ 90Verification, Validation, and Uncertainty Quantification in Computational Modeling of Airframe Structures
VVUQ 90Airframe Structure Modeling & Simulation Credibility Assurance FrameworkProject Identified

Note: Ballot (B) and Record (TR) numbers are system generated record numbers

Ballot Requirements

a) Other SC’s should be sent a review and comment ballot when the Subcommittee is sending out their documents for final Subcommittee ballots and/or

b) Other SC’s should be sent a review and comment ballot on all V&V standards committee first consideration ballots.

Note: (a) and (b) could occur concurrently.

Stages of Development

Project Identified

Draft Development or Revision Development

Draft Complete

Subcommittee Ballot

Standards Committee Ballot

Out for Public Review (ANSI or ASME Review)

Submitted for Publication

Published

% Complete Metrics

0-25%: Working group is defining scope, running analyses, expanding scope, re-doing analyses, etc

25-50%: Working group is putting together complete first draft of document

50-75%: Working group is revising first draft, but no review yet outside of working group

75-100%: Draft is in various stages of technical review, from full SC on up

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