ASME VV 10 2006 R2016
$98.04
ASME VV-10 Guide for Verification and Validation in Computational Solid Mechanics
| Published By | Publication Date | Number of Pages |
| ASME | 2006 | 40 |
ASME V V 10 provides the computational-solid-and-structural-mechanics community with a common language, a conceptual framework, and general guidance for implementing the processes of computational model V&V. The reader will find a glossary of terms, figures illustrating the recommended overall approach to V&V activities, and discussions of factors that should be considered in developing and executing a V&V program. In creating this document, the PTC 60 committee benefited from the earlier contributions to the field of V&V by other groups, especially Reference 2 as well as Reference 3 and 4. Although the state-of-the-art of V&V does not yet lend itself to writing a step-by-step performance code/standard, the guidance provided here will enable managers and practitioners of V&V to better assess and enhance the credibility of CSM models. To maximize the value to the engineering community, the PTC 60 committee chose to write from the perspective of V&V for high-consequence computational predictions of complex engineering systems. However, the guidance provided here is also appropriate for simpler applications, recognizing that smaller budgets and lower risks will reduce the scope of the V&V effort. The concepts and terminology presented here are applicable to all applied mechanics, but the focus is on CSM. ASME’s growing portfolio of V&V standards now become essential resources and references for anyone engaged with computational modeling. Intended for those engaged with medical devices, material science, defense applications, structural dynamics, automotive, aerospace, civil, mechanical, and nuclear engineering, solid mechanics, fluid and thermal dynamics, and many other industries worldwide.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 5 | CONTENTS FIGURES MANDATORY APPENDICES |
| 6 | FOREWORD |
| 7 | COMMITTEE ROSTER |
| 9 | CORRESPONDENCE WITH THE PTC 60 COMMITTEE |
| 10 | PREFACE |
| 11 | 1 EXECUTIVE SUMMARY 2 INTRODUCTION |
| 12 | 2.1 Purpose and Scope 1 Elements of V&V |
| 13 | 2.2 General Concepts of V&V 2.3 Approach to Modeling Complex Systems |
| 14 | 2.4 Bottom-Up Approach to V&V 2 Hierarchical Structure of Physical Systems 3 Example of Bottom-Up Approach to V&V |
| 15 | 2.5 V&V Activities and Products 2.5.1 The Modeling Branch. |
| 16 | 2.5.2 The Experimental Branch. 4 V&V Activities and Products |
| 17 | 2.5.3 Obtaining Agreement. 2.6 Development of the V&V Plan 2.6.1 Validation Testing. 2.6.2 Selection of Response Features. 2.6.3 Accuracy Requirements. |
| 18 | 2.7 Documentation of V&V 2.8 Overview of Subsequent Sections 3 MODEL DEVELOPMENT 3.1 Conceptual Model |
| 19 | 5 Path From Conceptual Model to Computational Model TABLE 1 PIRT Example |
| 20 | 3.2 Mathematical Model 3.3 Computational Model 3.4 Model Revisions 3.4.1 Updates to Model Parameters by Calibration. |
| 21 | 3.4.2 Updates to Model Form. 3.5 Sensitivity Analysis 3.6 Uncertainty Quantification for Simulations |
| 22 | 3.7 Documentation of Model Development Activities 4 VERIFICATION 4.1 Code Verification |
| 23 | 4.1.1 Numerical Code Verification. 4.1.1.1 Analytical Solutions. |
| 24 | 4.1.1.2 Method of Manufactured Solutions MMS. 4.1.1.3 Numerical Benchmark Solutions. 4.1.1.4 Consistency Tests. 4.1.2 Software Quality Engineering SQE. 4.2 Calculation Verification |
| 25 | 4.2.1 A Posteriori Error Estimation. 4.2.2 Potential Limitations. |
| 26 | 4.3 Verification Documentation 5 VALIDATION 5.1 Validation Experiments 5.1.1 Experiment Design. |
| 27 | 5.1.2 Measurement Selection. 5.1.3 Sources of Error. 5.1.4 Redundant Measurements. |
| 28 | 5.2 Uncertainty Quantification in Experiments 5.3 Accuracy Assessment 5.3.1 Validation Metrics. |
| 29 | 5.3.2 Accuracy Adequacy. 5.4 Validation Documentation 6 CONCLUDING REMARKS |
| 33 | I GLOSSARY |
| 35 | II NOMENCLATURE |
| 36 | III BIBLIOGRAPHY |
