| 書目名稱 | Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines | | 編輯 | Francesco Montomoli | | 視頻video | http://file.papertrans.cn/942/941103/941103.mp4 | | 概述 | New, expanded edition which evaluates newly-proposed uncertainty quantification methods.Provides a view of a traditionally mathematical topics from an engineering perspective.Examples provided demonst | | 圖書封面 |  | | 描述 | .This book introduces design techniques developed to increase the safety of aircraft engines, and demonstrates how the application of stochastic methods can overcome problems in the accurate prediction of engine lift caused by manufacturing error. This in turn addresses the issue of achieving required safety margins when hampered by limits in current design and manufacturing methods. The authors show that avoiding the potential catastrophe generated by the failure of an aircraft engine relies on the prediction of the correct behaviour of microscopic imperfections. This book shows how to quantify the possibility of such failure, and that it is possible to design components that are inherently less risky and more reliable..This new, updated and significantly expanded edition gives an introduction to engine reliability and safety to contextualise this important issue, evaluates newly-proposed methods for uncertainty quantification as applied to jet engines..Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines. will be of use to gas turbine manufacturers and designers as well as CFD practitioners, specialists and researchers. Graduate and final year undergrad | | 出版日期 | Book 2019Latest edition | | 關(guān)鍵詞 | aircraft engine safety; Computational Fluid Dynamics; Gas Turbines; Manufacturing Errors; Stochastic Met | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-319-92943-9 | | isbn_softcover | 978-3-030-06552-2 | | isbn_ebook | 978-3-319-92943-9 | | copyright | Springer International Publishing AG, part of Springer Nature 2019 |
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