ASME V&V 10-2019

Current Revision
Standard for Verification and Validation in Computational Solid Mechanics

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Standard for Verification and Validation in Computational Solid Mechanics

PUBLISH DATE 2020
PAGES 40

Purpose of ASME V&V-2019

The primary purpose of the ASME V&V series of standards is to establish credibility and trust in the results obtained from computer models and simulations, which are increasingly replacing or supplementing physical testing in engineering. The V&V 10-2019 standard provides the CSM community with:

  • A Common Language and Conceptual Framework for all VVUQ activities.
  • General Guidance for implementing the processes of computational model verification and validation.

This process helps answer two crucial questions about a computational model:

  • Verification: "Are we solving the mathematical model correctly?" (Checking for errors in the code and numerical solutions).
  • Validation: "Are we solving the correct mathematical model?" (Checking if the model accurately represents the real-world physical system).

What is it Used For?

ASME V&V-2019 is used by engineers, scientists, and software developers across industries, particularly where predictive modeling is critical for design and safety. Key applications include:

  • Assessing Model Credibility: It guides managers and practitioners in collecting and documenting the evidence needed to establish confidence in the predictive capabilities of computational solid mechanics models (e.g., Finite Element Analysis).
  • Product Development and Safety: By providing rigor to simulation, it allows companies to confidently use computational models to assess product performance, functional characteristics, and safety, potentially decreasing the number of expensive physical tests required.
  • Regulatory Submissions: Standards like ASME V&V 40 (which builds on V&V 10) are often used in the medical device industry to establish the credibility of computational models that support regulatory decisions (e.g., submissions to the FDA).
  • Standardizing Best Practices: It ensures that all teams involved in modeling and simulation—developers, users, and reviewers—are using a consistent, industry-approved methodology for assessing model quality.
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