Large Eddy Simulation for Compressible Flows
暫譯: 可壓流的巨大渦流模擬

Garnier, Eric, Adams, Nikolaus, Sagaut, P.

Large Eddy Simulation for Compressible Flows

商品描述

Turbulent ?ows are ubiquitous in most application ?elds, ranging from - gineering to earth sciences and even life sciences. Therefore, simulation of turbulent ?ows has become a key tool in both fundamental and applied - search. The complexity of Navier-Stokes turbulence, which is illustrated by the fact that the number of degrees of freedom of turbulence grows faster 11/4 thanO(Re ), where Re denotes the Reynolds number, renders the Direct Numerical Simulation (DNS) of turbulence inapplicable to most ?ows of - terest. To alleviate this problem, truncated solutions in both frequency and wavenumbermaybesought, whosecomputationalcostismuchlowerandmay ideally be arbitrarily adjusted. The most suitable approach to obtain such a low-cost three-dimensional unsteady simulation of a turbulent ?ow is Large- EddySimulation(LES), whichwaspioneeredtocomputemeteorological?ows in the late 1950s and the early 1960s. One of the main issues raised by LES is a closure problem: because of the non-linearity of the Navier-Stokes equations, the e?ect of unresolved scales must be taken into account to recover a reliable description of resolved scales of motion (Chap. 2). This need to close the governing equations of LES has certainly been the main area of investigation since the 1960s, and numerous closures, alsoreferredtoassubgridmodels, havebeenproposed. Mostexisting subgrid models have been built using simpli?ed viewsof turbulence dynamics, the main physical phenomenon taken into account being the direct kinetic - ergycascade from largeto small scales that is observed in isotropic turbulence and high-Reynolds fully developed turbulent ?ows. The most popular pa- digm for interscale energy transfer modeling is subgrid viscosity (Chap.

商品描述(中文翻譯)

湍流在大多數應用領域中無處不在，範圍從工程到地球科學甚至生命科學。因此，湍流的模擬已成為基礎研究和應用研究中的一個關鍵工具。Navier-Stokes 湍流的複雜性體現在湍流的自由度數量增長速度超過 O(Re^11/4)，其中 Re 代表雷諾數，這使得湍流的直接數值模擬（DNS）對於大多數感興趣的流動來說不適用。為了緩解這一問題，可以尋求在頻率和波數上截斷的解，其計算成本要低得多，並且理想情況下可以任意調整。獲得這種低成本三維非穩態湍流模擬的最合適方法是大渦模擬（Large-Eddy Simulation, LES），該方法在1950年代末和1960年代初被開創用於計算氣象流。LES 提出的主要問題之一是閉合問題：由於 Navier-Stokes 方程的非線性，必須考慮未解析尺度的影響，以恢復對已解析運動尺度的可靠描述（第2章）。自1960年代以來，LES 的控制方程閉合需求無疑成為主要的研究領域，並提出了許多閉合模型，也稱為子網格模型。大多數現有的子網格模型是基於對湍流動力學的簡化觀點構建的，主要考慮的物理現象是從大尺度到小尺度的直接動能級聯，這在各向同性湍流和高雷諾數完全發展的湍流中觀察到。用於尺度間能量轉移建模的最流行範式是子網格粘度（第...章）。

作者簡介

Pierre Saugaut is one of the leading scientists in scientific computing (Simulation, Analysis and Modeling of Compressible Turbulent Flows), and his books are considered the most important in the field of LES theory and applications (he has been given the ONERA award for the best scientific publication in 1997,1999, 2001). He is teaching at the Pierre et Marie Curie Universite Paris.

The author has published several books with Springer ("Large Eddy Simulation for Incompressible Flows", ISBN 978-3-540-26344-9; "Introduction a la simulation des grandes échelles pour les écoulements de fluide incompressible", ISBN 978-3-540-64684-6; "Turbulence and Interactions", ISBN 978-3-642-00261-8; "Quality and Reliability of Large-Eddy Simulations", ISBN 978-1-4020-8577-2). He is in the Editorial/Advisory Board of the Springer Journals "Theoretical and Computational Fluid Dynamics" and "Journal of Scientific Computing".

作者簡介(中文翻譯)

皮埃爾·索戈（Pierre Saugaut）是科學計算（可壓縮湍流的模擬、分析和建模）領域的領先科學家之一，他的書籍被認為是大渦模擬（LES）理論和應用領域中最重要的著作（他曾於1997年、1999年和2001年獲得ONERA最佳科學出版物獎）。他目前在巴黎皮埃爾與瑪麗·居里大學（Pierre et Marie Curie Universite Paris）任教。

作者與施普林格（Springer）出版了幾本書籍，包括《不可壓縮流的巨大渦模擬》（Large Eddy Simulation for Incompressible Flows，ISBN 978-3-540-26344-9）、《不可壓縮流體的巨大尺度模擬導論》（Introduction a la simulation des grandes échelles pour les écoulements de fluide incompressible，ISBN 978-3-540-64684-6）、《湍流與相互作用》（Turbulence and Interactions，ISBN 978-3-642-00261-8）、《大型渦模擬的質量與可靠性》（Quality and Reliability of Large-Eddy Simulations，ISBN 978-1-4020-8577-2）。他是施普林格期刊《理論與計算流體動力學》（Theoretical and Computational Fluid Dynamics）和《科學計算期刊》（Journal of Scientific Computing）的編輯/顧問委員會成員。

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