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Uncertainty Management for Robust Industrial Design in Aeronautics

Findings and Best Practice Collected During UMRIDA, a Collaborative Research Project (2013–2016) Funded by the European Union

  • Charles Hirsch
  • Dirk Wunsch
  • Jacek Szumbarski
  • Łukasz Łaniewski-Wołłk
  • Jordi Pons-Prats

Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 140)

Table of contents

  1. Front Matter
    Pages i-ix
  2. The UMRIDA Project

    1. Front Matter
      Pages 1-1
    2. Charles Hirsch, Dirk Wunsch
      Pages 3-13
  3. Uncertainty Quantification (UQ) and Efficient Handling of a Large Number of Uncertainties

    1. Front Matter
      Pages 33-33
    2. Dirk Büche, Sönke Klostermann, G. Rogé, X. Loyatho
      Pages 35-51
    3. Martin Schmelzer, Richard P. Dwight, Wouter Edeling, Paola Cinnella
      Pages 53-69
    4. A. Ndiaye, F. Nicoud
      Pages 71-88
    5. Frédéric Alauzet, Alain Dervieux, Loïc Frazza, Adrien Loseille
      Pages 89-107
    6. Alberto Clarich, Rosario Russo
      Pages 185-201
    7. Daigo Maruyama, Stefan Görtz, Dishi Liu
      Pages 203-211
    8. Daigo Maruyama, Dishi Liu, Stefan Görtz
      Pages 213-228
    9. Antoine Dumont, Jean-Luc Hantrais-Gervois, Pierre-Yves Passaggia, Jacques Peter, Itham Salah el Din, Éric Savin
      Pages 229-245
    10. M. Bauerheim, A. Ndiaye, F. Nicoud
      Pages 247-263
    11. Robin Schmidt, Matthias Voigt, Michele Pisaroni, Fabio Nobile, Penelope Leyland, Jordi Pons-Prats et al.
      Pages 265-278
    12. Jordi Pons-Prats, G. Bugeda
      Pages 291-304
    13. Michele Pisaroni, Fabio Nobile, Penelope Leyland
      Pages 305-325
    14. Alain Dervieux
      Pages 327-334
    15. Marcin Wyrozębski, Łukasz Łaniewski-Wołłk, Jacek Rokicki
      Pages 347-361
  4. Application of Uncertainty Quantification to Industrial Challenges

    1. Front Matter
      Pages 363-363
    2. K. Vinogradov, G. Kretinin
      Pages 365-381
    3. S. Richard, J. Lamouroux, A. Ndiaye, F. Nicoud
      Pages 399-414
    4. Rémy Nigro, Dirk Wunsch, Grégory Coussement, Charles Hirsch
      Pages 431-444
  5. Robust Design Optimization (RDO) and Applications

    1. Front Matter
      Pages 445-445
    2. Alberto Clarich, Rosario Russo
      Pages 447-462
    3. Jan Nordström, Markus Wahlsten
      Pages 463-478
    4. Krzysztof Marchlewski, Łukasz Łaniewski-Wołłk, Sławomir Kubacki, Jacek Szumbarski
      Pages 479-494
    5. Rémy Nigro, Dirk Wunsch, Grégory Coussement, Charles Hirsch
      Pages 495-511
    6. Daigo Maruyama, Stefan Görtz, Dishi Liu
      Pages 513-527
    7. Michele Pisaroni, Fabio Nobile, Penelope Leyland
      Pages 529-540
    8. K. Vinogradov, G. Kretinin, I. Leshenko
      Pages 583-600
    9. N. Magnino
      Pages 647-662
    10. G. Rogé, X. Loyatho
      Pages 663-675
  6. UMRIDA Best Practices: Methods for Uncertainty Quantification, RDO and Their Applicability Range

    1. Front Matter
      Pages 677-677
    2. Dirk Büche, Sönke Klostermann, Martin Schmelzer
      Pages 679-686
    3. Daigo Maruyama, Dishi Liu, Stefan Görtz
      Pages 703-714
    4. Robin Schmidt, Matthias Voigt, Michele Pisaroni, Fabio Nobile, Penelope Leyland, Jordi Pons-Prats et al.
      Pages 715-720

About this book

Introduction

This book covers cutting-edge findings related to uncertainty quantification and optimization under uncertainties (i.e. robust and reliable optimization), with a special emphasis on aeronautics and turbomachinery, although not limited to these fields. It describes new methods for uncertainty quantification, such as non-intrusive polynomial chaos, collocation methods, perturbation methods, as well as adjoint based and multi-level Monte Carlo methods. It includes methods for characterization of most influential uncertainties, as well as formulations for robust and reliable design optimization. A distinctive element of the book is the unique collection of test cases with prescribed uncertainties, which are representative of the current engineering practice of the industrial consortium partners involved in UMRIDA, a level 1 collaborative project within the European Commission's Seventh Framework Programme (FP7). All developed methods are benchmarked against these industrial challenges. Moreover, the book includes a section dedicated to Best Practice Guidelines for uncertainty quantification and robust design optimization, summarizing the findings obtained by the consortium members within the UMRIDA project. All in all, the book offers a authoritative guide to cutting-edge methodologies for uncertainty management in engineering design, covers a wide range of applications and discusses new ideas for future research and interdisciplinary collaborations.

 

Keywords

Uncertainty quantification methods Applications of uncertainty quantification Robust design optimization Reliable design optimization Optimization under uncertainties Industrial design practice Aleatory uncertainties Manufacturing uncertainties Mesh adaptation Perturbation method Adjoint based methods Non-intrusive polynomial chaos Non-intrusive collocation methods Database with prescribed uncertainties Multi-Level Monte-Carlo Virtual prototyping Cost effective design Airfoil shape optimization

Editors and affiliations

  • Charles Hirsch
    • 1
  • Dirk Wunsch
    • 2
  • Jacek Szumbarski
    • 3
  • Łukasz Łaniewski-Wołłk
    • 4
  • Jordi Pons-Prats
    • 5
  1. 1.NUMECA International S.A.BrusselsBelgium
  2. 2.NUMECA International S.A.BrusselsBelgium
  3. 3.Institute of Aeronautics and Applied MechanicsWarsaw University of TechnologyWarsawPoland
  4. 4.Institute of Aeronautics and Applied MechanicsWarsaw University of TechnologyWarsawPoland
  5. 5.CIMNE International Centre for Numerical Methods in EngineeringBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-77767-2
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-77766-5
  • Online ISBN 978-3-319-77767-2
  • Series Print ISSN 1612-2909
  • Series Online ISSN 1860-0824
  • Buy this book on publisher's site