| 书目名称 | Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines |
| 编辑 | Francesco Montomoli,Mauro Carnevale,Simone Salvado |
| 视频video | |
| 概述 | Provides a view of a traditionally mathematical topics from an engineering perspective.Examples are included to demonstrate the principles described.Shows the reader how to quantify the possibility of |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | .This book introduces novel design techniques developed to increase the safety of aircraft engines. The authors demonstrate how the application of uncertainty methods can overcome problems in the accurate prediction of engine lift, caused by manufacturing error. This in turn ameliorates the difficulty of achieving required safety margins imposed by limits in current design and manufacturing methods. .This text shows that even state-of-the-art computational fluid dynamics (CFD) are not able to predict the same performance measured in experiments; CFD methods assume idealised geometries but ideal geometries do not exist, cannot be manufactured and their performance differs from real-world ones. By applying geometrical variations of a few microns, the agreement with experiments improves dramatically, but unfortunately the manufacturing errors in engines or in experiments are unknown. In order to overcome this limitation, uncertainty quantification considers the probability density functions of manufacturing errors. It is then possible to predict the overall variation of the jet engine performance using stochastic techniques. .Uncertainty Quantification in Computational Fluid Dynamics |
| 出版日期 | Book 20151st edition |
| 关键词 | Aircraft Engines; Computational Fluid Dynamics; Gas Turbines; Manufacturing Errors; Stochastic Methods; f |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-14681-2 |
| isbn_ebook | 978-3-319-14681-2Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2015 |
发表于 2025-3-21 20:08:41
