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

Jordi Pons-Prats

ISBN 10: 3319777661 / ISBN 13: 9783319777665

Edité par Springer, 2018

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9783319777665

Détails bibliographiques

• Titre: 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
• Éditeur: Springer
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 3319777661
• ISBN à 13 chiffres: 9783319777665
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 160 H x 50 P (en millimètres) 241 millimètres de largeur par 160 millimètres de hauteur par 50 millimètres de profondeur
• Poids: 1396 grammes

A propos de ce titre

Synopsis

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.