| 书目名称 | Uncertainty Management for Robust Industrial Design in Aeronautics |
| 副标题 | Findings and Best Pr |
| 编辑 | Charles Hirsch,Dirk Wunsch,Jordi Pons-Prats |
| 视频video | |
| 概述 | Reports on innovative methods for uncertainty quantification and robust design optimization in engineering practice.Includes extensive data on prescribed uncertainties relevant to the industrial pract |
| 丛书名称 | Notes on Numerical Fluid Mechanics and Multidisciplinary Design |
| 图书封面 |  |
| 描述 | .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 w |
| 出版日期 | Book 2019 |
| 关键词 | Uncertainty quantification methods; Applications of uncertainty quantification; Robust design optimiza |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-77767-2 |
| isbn_softcover | 978-3-030-08534-6 |
| isbn_ebook | 978-3-319-77767-2Series ISSN 1612-2909 Series E-ISSN 1860-0824 |
| issn_series | 1612-2909 |
| copyright | Springer International Publishing AG, part of Springer Nature 2019 |
发表于 2025-3-21 18:50:02
