Chapter 9. Uncertainty Quantification and the Verification and Validation of Computational Models

  1. Daniel J. Inman1,
  2. Charles R. Farrar2,
  3. Vicente Lopes Junior3,4 and
  4. Valder Steffen Junior5
  1. François M. Hemez

Published Online: 13 SEP 2005

DOI: 10.1002/0470869097.ch9

Damage Prognosis: For Aerospace, Civil and Mechanical Systems

Damage Prognosis: For Aerospace, Civil and Mechanical Systems

How to Cite

Hemez, F. M. (2005) Uncertainty Quantification and the Verification and Validation of Computational Models, in Damage Prognosis: For Aerospace, Civil and Mechanical Systems (eds D. J. Inman, C. R. Farrar, V. Lopes and V. Steffen), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/0470869097.ch9

Editor Information

  1. 1

    Center for Intelligent Material Systems and Structures, 310 Durham Hall, Mail Code 0261, Virginia Polytechnic Institute, Blacksburg, VA 24061, USA

  2. 2

    Los Alamos National Laboratory, Engineering Sciences and Applications, ESA-WR, Mail Stop T001, Los Alamos, New Mexico 87545, USA

  3. 3

    Av. Brasil, 56, 15.385-000 Ilha Solteira, SP, Brazil

  4. 4

    Universidade Estadual de São Paulo, SP, Brazil

  5. 5

    Federal University of Uberlândia, School of Mechanical Engineering, Campus Santa Monica, Uberlândia, Minas Gerais, 38400-902, Brazil

Author Information

  1. Los Alamos National Laboratory, Engineering Sciences and Applications, ESA-WR, Mail Stop T001, Los Alamos, New Mexico 87545, USA

Publication History

  1. Published Online: 13 SEP 2005
  2. Published Print: 18 MAR 2005

ISBN Information

Print ISBN: 9780470869079

Online ISBN: 9780470869093

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Keywords:

  • credibility of predictions;
  • validation and verification;
  • Code verification;
  • Numerical algorithm verification;
  • solution verification;
  • effect screening;
  • Bayesian screening;
  • information integration;
  • total uncertainty assessment

Summary

This chapter contains sections titled:

  • Introduction

  • Verification Activities

  • Validation Activities

  • Uncertainty Quantification

  • Assessment of Prediction Accuracy

  • Conclusion

  • References