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Summary of UMRIDA best practices

Author
Pons-Prats, J.; Bugeda, G.
Type of activity
Book chapter
Book
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
First page
805
Last page
808
Publisher
Springer
Date of publication
2019
ISBN
978-3-319-77766-5 Open in new window
DOI
https://doi.org/10.1007/978-3-319-77767-2 Open in new window
URL
https://link.springer.com/book/10.1007%2F978-3-319-77767-2 Open in new window
Abstract
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 mo...
Keywords
Stochastic analysis, UMRIDA
Group of research
(MC)2 - UPC Computational continuum mechanics
RMEE - Strength of Materials and Structural Engineering Research Group

Participants