Publications

New RG Aero 000 47A

The RG Aéro 000 47 proposes an inventory of best practices, shared by stakeholders in the aeronautics, space and defence sector, relating to the verification and validation (V&V) of simulations and numerical models in order to guarantee the credibility of the results obtained with a view to faster development to aid decision-making, reduce physical testing, shorten development times, facilitate numerical qualification and certification... which represent the major challenges of simulation.

New RG Aero 000 47A

CONTENTS Introduction

  • 1 Purpose and scope
  • 2 Normative references
  • 3 Terms and definitions
  • 4 List of acronyms
  • 5 Principles/concepts
  • 5.1 Document objectives and added value
  • 5.2 Simulation-related organisation
  • 5.3 Maturity of a model
  • 5.3.1 Maturity levels
  • 5.3.2 Maturity assessment methods
  • 5.3.3 Maturity based on the product lifecycle stages
  • 6 Modelling and simulation
  • 6.1 Assessment of the simulation need
  • 6.2 Selecting the type of simulation, model and tool
  • 6.3 Simulation plan
  • 6.3.1 Objectives of the simulation plan
  • 6.3.2 Identifying the need in terms of simulation
  • 6.3.3 Verification cross-reference matrix (VCRM)
  • 6.3.4 Identification and ranking of physical phenomena
  • 6.3.5 Identification of the types of simulation to be implemented
  • 6.3.6 Determining the criticality of the simulations
  • 6.3.7 Description of the simulation workflow
  • 6.3.8 Finalization of the first version of the simulation plan
  • 6.4 Modelling
  • 6.4.1 Different types of physical behaviour models
  • 6.4.2 Construction of a simulation model
  • 6.4.3 Assumptions
  • 6.5 Input Data
  • 7 Verification and Validation (V&V)
  • 7.1 General
  • 7.2 Verification
  • 7.2.1 Creating of a model
  • 7.2.2 Verification of the calculation code
  • 7.2.3 Solution verification
  • 7.2.4 Types of errors and recommendations
  • 7.2.5 Verification methods
  • 7.3 Validation
  • 7.3.1 Validation domain
  • 7.3.2 Validation activity
  • 7.3.3 Reference data
  • 7.3.4 Validation criteria
  • 7.3.5 Uncertainties quantification
  • 7.3.6 Deviations between operational, simulation and test environments
  • 7.3.7 Deviations between operational, simulation and test models
  • 8 Interpretation, use and publication of the simulation outputs
  • 8.1 Interpretation of the simulation outputs
  • 8.2 Use of the simulation outputs
  • 8.3 Publication of the simulation outputs
  • 9 Archiving
  • 9.1 Definition and objective
  • 9.2 Challenges involved in Long-term storage
  • 9.3 Archived data access scenarios
  • 9.4 Archived data
  • 9.5 Constraints
  • 9.6 Challenges of archiving
  • 9.7 Elements necessary for archiving modelling and simulation data
  • 9.8 Long-term preservation of data and models
  • 9.8.1 Technological obsolescence
  • 9.8.2 Description of the data
  • 9.8.3 Loss of formats
  • 9.8.4 Verification of data to be archived
  • 9.8.5 Validation of archived data
  • 10 Configuration management for the simulation
  • 10.1 Configuration management in short
  • 10.2 Management of simulation data
  • 10.3 Challenges involved in simulation data
  • 10.4 Application of configuration management
  • 10.5 Main differences with PLM
  • Appendix A (informative) Example of a simulation plan template
  • Appendix B (informative) Example of a criticality assessment matrix
  • Appendix C (informative) Example of a data non-regression validation procedure
  • Appendix D (informative) Example of sections in an analysis report
  • Bibliography