| 書目名稱 | Uncertainty Quantification in Computational Fluid Dynamics |
| 編輯 | Hester Bijl,Didier Lucor,Christoph Schwab |
| 視頻video | http://file.papertrans.cn/942/941102/941102.mp4 |
| 概述 | Presentation of the highly relevant issue of UQ in CFD.A broad spectrum of methods to efficiently compute uncertainty.Large number of numerical examples as verification of the proposed methods and the |
| 叢書名稱 | Lecture Notes in Computational Science and Engineering |
| 圖書封面 |  |
| 描述 | Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches. |
| 出版日期 | Book 2013 |
| 關(guān)鍵詞 | Adaptive stencil selection; Computational fluid dynamics; Monte Carlo; Shock waves; Uncertainty quantifi |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-00885-1 |
| isbn_softcover | 978-3-319-34666-3 |
| isbn_ebook | 978-3-319-00885-1Series ISSN 1439-7358 Series E-ISSN 2197-7100 |
| issn_series | 1439-7358 |
| copyright | Springer International Publishing Switzerland 2013 |
|Archiver|手機(jī)版|小黑屋|
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