您当前的位置:首页 > 可压缩流的大涡模拟方法 英文版 [(法)加尼尔 著] 2013年版 > 下载地址2
可压缩流的大涡模拟方法 英文版 [(法)加尼尔 著] 2013年版
- 名 称:可压缩流的大涡模拟方法 英文版 [(法)加尼尔 著] 2013年版 - 下载地址2
- 类 别:数学书籍
- 下载地址:[下载地址2]
- 提 取 码:
- 浏览次数:3
发表评论
加入收藏夹
错误报告
目录| 新闻评论(共有 0 条评论) |
资料介绍
可压缩流的大涡模拟方法 英文版
作者:(法)加尼尔 著
出版时间:2013年版
内容简介
可压缩流的les是一个函待开发的领域,《可压缩流的大涡模拟方法》旨在讲述les基础及其在实践中的应用。为了最大程度地缩小理论框架之间的衔接,缓解les研究和日益增长的工程模型应用中的需求之间的矛盾,《可压缩流的大涡模拟方法》最大程度地将和该领域有关论题囊括其中,用全新的方式全面讲述了les理论及其应用。
目录
1 introduction
2 les governing equations
2.1 preliminary discussion
2.2 governing equations
2.2.1 fundamental assumptions
2.2.2 conservative formulation
2.2.3 alternative formulations
2.3 filtering operator
2.3.1 definition
2.3.2 discrete representation of filters
2.3.3 filtering of discontinuities
2.3.4 filter associated to the numerical method
2.3.5 commutation error
2.3.6 favre filtering
2.3.7 summary of the different type of filters
2.4 formulation of the filtered governing equations.
2.4.1 enthalpy formulation
2.4.2 temperature formulation
2.4.3 pressure formulation
2.4.4 entropy formulation
2.4.5 filtered total energy equations
2.4.6 momentum equations
2.4.7 simplifying assumptions
2.5 additional relations for les of compressible flows
2.5.1 preservation of original symmetries
2.5.2 discontinuity jump relations for les
2.5.3 second law of thermodynamics
2.6 model construction
2.6.1 basic hypothesis
2.6.2 modeling strategies
3 compressible turbulence dynamics
3.1 scope and content of this chapter
3.2 kovasznay decomposition of turbulent fluctuations
3.2.1 kovasznay's linear decomposition
3.2.2 weakly nonlinear kovasznay decomposition
3.3 statistical description of compressible turbulence
3.4 shock-turbulence interaction
3.4.1 introduction to the linear interaction approximation theory
3.4.2 vortical turbulence-shock interaction
3.4.3 mixed-mode turbulence-shock interaction
3.4.4 consequences for subgrid modeling
3.5 different regimes of isotropic compressible turbulence
3.5.1 quasi-isentropic-turbulence regime
3.5.2 nonlinear subsonic regime
3.5.3 supersonic regime
3.5.4 consequences for subgrid modeling
4 functional modeling
4.1 basis of functional modeling
4.1.1 phenomenology of scale interactions
4.1.2 basic functional modeling hypothesis
4.2 sgs viscosity
4.2.1 the boussinesq hypothesis
4.2.2 smagorinsky model
4.2.3 structure function model
4.2.4 mixed scale model
4.3 isotropic tensor modeling
4.4 sgs heat flux
4.5 modeling of the subgrid turbulent dissipation rate
4.6 improvement of sgs models
4.6.1 structural sensors and selective models
4.6.2 accentuation technique and filtered models
4.6.3 high-pass filtered eddy viscosity
4.6.4 wall-adapting local eddy-viscosity model
4.6.5 dynamic procedure
4.6.6 implicit diffusion and the implicit les concept
5 explicit structural modeling
5.1 motivation of structural modeling
5.2 models based on deconvolution
5.2.1 scale-similarity model
5.2.2 approximate deconvolution model
5.2.3 tensor-diffusivity model
5.3 regularization techniques;.
5.3.1 eddy-viscosity regularization
5.3.2 relaxation regularization
5.3.3 regularization by explicit filtering
5.4 multi-scale modeling of subgrid-scales
5.4.1 multi-level approaches
5.4.2 stretched-vortex model
5.4.3 variational multi-scale model
6 relation between sgs model and numerical discretization
6.1 systematic procedures for nonlinear error analysis
6.1.1 error sources
6.1.2 modified differential equation analysis
6.1.3 modified differential equation analysis in spectral space
6.2 implicit les approaches based on linear and nonlinear discretization schemes
6.2.1 the volume balance procedure of schumamm
6.2.2 the kawamura-kuwahara scheme
6.2.3 the piecewise-parabolic method
6.2.4 the flux-corrected-transport method
6.2.5 the mpdata method
6.2.6 the optimum finite-volume scheme
6.3 implicit les by adaptive local deconvolution
6.3.1 fundamental concept of aldm
6.3.2 aldm for the incompressible navier-stokes equations.
6.3.3 aldm for the compressible navier-stokes equations
7 boundary conditions for large-eddy simulation of compressible flows
7.1 introduction
7.2 wall modeling for compressible les
7.2.1 statement of the problem
7.2.2 wall boundary conditions in the kovasznay decomposition framework: an insight
7.2.3 turbulent boundary layer: vorticity and temperature fields
7.2.4 turbulent boundary layer: acoustic field
7.2.5 consequences for the development of compressible wall models
7.2.6 extension of existing wall models for incompressible flows
7.3 unsteady turbulent inflow conditions for compressible les
7.3.1 fundamentals
7.3.2 precursor simulation: advantages and drawbacks
7.3.3 extraction-rescaling techniques
7.3.4 synthetic-turbulence-based models
8 subsonic applications with compressibility effects
8.1 homogeneous turbulence
8.1.1 context
8.1.2 a few realizations
8.1.3 influence of the numerical method
8.1.4 sgs modeling
8.2 channel flow
8.2.1 context
8.2.2 a few realizations
8.2.3 influence of the numerical method
8.2.4 influence of the sgs model
8.3 mixing layer
8.3.1 context
8.3.2 a few realizations
8.3.3 influence of the numerical method
8.3.4 influence of the sgs model
8.4 boundary-layer flow
8.4.1 context
8.4.2 a few realizations
8.5 jets
8.5.1 context
8.5.2 a few realizations
8.5.3 influence of the numerical method
8.5.4 influence of the sgs model
8.5.5 physical analysis
8.6 flows over cavities
8.6:1 context
8.6.2 a few realizations
8.6.3 influence of the numerical method
8.6.4 influence of the sgs model
8.6.5 physical analysis
9 supersonic applications
9.1 homogeneous turbulence
9.2 channel flow
9.2.1 context
9.2.2 a few realizations
9.2.3 influence of the numerical method
9.2.4 influence of the grid resolution
9.2.5 influence of the sgs model
9.3 boundary layers
9.3.1 context
9.3.2 a few realizations
9.3.3 influence of the numerical method
9.3.4 influence of the grid resolution
9.3.5 sgs modeling
9.4 jets
9.4.1 context
9.4.2 a few realizations
9.4.3 influence of the numerical method
9.4.4 influence of the sgs model
9.4.5 physical analysis
10 supersonic applications with shock-turbulence interaction
10.1 shock-interaction with homogeneous turbulence
10.1.1 phenomenology of shock-interaction with homogeneous turbulence
10.1.2 les of shock-interaction with homogeneous turbulence
10.2 shock-turbulence interaction in jets
10.2.1 phenomenology of shock-turbulence interaction in jets
10.2.2 les of shock-turbulence interaction in jets
10.3 shock-turbulent-boundary-layer interaction
10.3.1 phenomenology of shock-turbulent-boundary-layer interaction
10.3.2 les of compression-ramp configurations
references
index
作者:(法)加尼尔 著
出版时间:2013年版
内容简介
可压缩流的les是一个函待开发的领域,《可压缩流的大涡模拟方法》旨在讲述les基础及其在实践中的应用。为了最大程度地缩小理论框架之间的衔接,缓解les研究和日益增长的工程模型应用中的需求之间的矛盾,《可压缩流的大涡模拟方法》最大程度地将和该领域有关论题囊括其中,用全新的方式全面讲述了les理论及其应用。
目录
1 introduction
2 les governing equations
2.1 preliminary discussion
2.2 governing equations
2.2.1 fundamental assumptions
2.2.2 conservative formulation
2.2.3 alternative formulations
2.3 filtering operator
2.3.1 definition
2.3.2 discrete representation of filters
2.3.3 filtering of discontinuities
2.3.4 filter associated to the numerical method
2.3.5 commutation error
2.3.6 favre filtering
2.3.7 summary of the different type of filters
2.4 formulation of the filtered governing equations.
2.4.1 enthalpy formulation
2.4.2 temperature formulation
2.4.3 pressure formulation
2.4.4 entropy formulation
2.4.5 filtered total energy equations
2.4.6 momentum equations
2.4.7 simplifying assumptions
2.5 additional relations for les of compressible flows
2.5.1 preservation of original symmetries
2.5.2 discontinuity jump relations for les
2.5.3 second law of thermodynamics
2.6 model construction
2.6.1 basic hypothesis
2.6.2 modeling strategies
3 compressible turbulence dynamics
3.1 scope and content of this chapter
3.2 kovasznay decomposition of turbulent fluctuations
3.2.1 kovasznay's linear decomposition
3.2.2 weakly nonlinear kovasznay decomposition
3.3 statistical description of compressible turbulence
3.4 shock-turbulence interaction
3.4.1 introduction to the linear interaction approximation theory
3.4.2 vortical turbulence-shock interaction
3.4.3 mixed-mode turbulence-shock interaction
3.4.4 consequences for subgrid modeling
3.5 different regimes of isotropic compressible turbulence
3.5.1 quasi-isentropic-turbulence regime
3.5.2 nonlinear subsonic regime
3.5.3 supersonic regime
3.5.4 consequences for subgrid modeling
4 functional modeling
4.1 basis of functional modeling
4.1.1 phenomenology of scale interactions
4.1.2 basic functional modeling hypothesis
4.2 sgs viscosity
4.2.1 the boussinesq hypothesis
4.2.2 smagorinsky model
4.2.3 structure function model
4.2.4 mixed scale model
4.3 isotropic tensor modeling
4.4 sgs heat flux
4.5 modeling of the subgrid turbulent dissipation rate
4.6 improvement of sgs models
4.6.1 structural sensors and selective models
4.6.2 accentuation technique and filtered models
4.6.3 high-pass filtered eddy viscosity
4.6.4 wall-adapting local eddy-viscosity model
4.6.5 dynamic procedure
4.6.6 implicit diffusion and the implicit les concept
5 explicit structural modeling
5.1 motivation of structural modeling
5.2 models based on deconvolution
5.2.1 scale-similarity model
5.2.2 approximate deconvolution model
5.2.3 tensor-diffusivity model
5.3 regularization techniques;.
5.3.1 eddy-viscosity regularization
5.3.2 relaxation regularization
5.3.3 regularization by explicit filtering
5.4 multi-scale modeling of subgrid-scales
5.4.1 multi-level approaches
5.4.2 stretched-vortex model
5.4.3 variational multi-scale model
6 relation between sgs model and numerical discretization
6.1 systematic procedures for nonlinear error analysis
6.1.1 error sources
6.1.2 modified differential equation analysis
6.1.3 modified differential equation analysis in spectral space
6.2 implicit les approaches based on linear and nonlinear discretization schemes
6.2.1 the volume balance procedure of schumamm
6.2.2 the kawamura-kuwahara scheme
6.2.3 the piecewise-parabolic method
6.2.4 the flux-corrected-transport method
6.2.5 the mpdata method
6.2.6 the optimum finite-volume scheme
6.3 implicit les by adaptive local deconvolution
6.3.1 fundamental concept of aldm
6.3.2 aldm for the incompressible navier-stokes equations.
6.3.3 aldm for the compressible navier-stokes equations
7 boundary conditions for large-eddy simulation of compressible flows
7.1 introduction
7.2 wall modeling for compressible les
7.2.1 statement of the problem
7.2.2 wall boundary conditions in the kovasznay decomposition framework: an insight
7.2.3 turbulent boundary layer: vorticity and temperature fields
7.2.4 turbulent boundary layer: acoustic field
7.2.5 consequences for the development of compressible wall models
7.2.6 extension of existing wall models for incompressible flows
7.3 unsteady turbulent inflow conditions for compressible les
7.3.1 fundamentals
7.3.2 precursor simulation: advantages and drawbacks
7.3.3 extraction-rescaling techniques
7.3.4 synthetic-turbulence-based models
8 subsonic applications with compressibility effects
8.1 homogeneous turbulence
8.1.1 context
8.1.2 a few realizations
8.1.3 influence of the numerical method
8.1.4 sgs modeling
8.2 channel flow
8.2.1 context
8.2.2 a few realizations
8.2.3 influence of the numerical method
8.2.4 influence of the sgs model
8.3 mixing layer
8.3.1 context
8.3.2 a few realizations
8.3.3 influence of the numerical method
8.3.4 influence of the sgs model
8.4 boundary-layer flow
8.4.1 context
8.4.2 a few realizations
8.5 jets
8.5.1 context
8.5.2 a few realizations
8.5.3 influence of the numerical method
8.5.4 influence of the sgs model
8.5.5 physical analysis
8.6 flows over cavities
8.6:1 context
8.6.2 a few realizations
8.6.3 influence of the numerical method
8.6.4 influence of the sgs model
8.6.5 physical analysis
9 supersonic applications
9.1 homogeneous turbulence
9.2 channel flow
9.2.1 context
9.2.2 a few realizations
9.2.3 influence of the numerical method
9.2.4 influence of the grid resolution
9.2.5 influence of the sgs model
9.3 boundary layers
9.3.1 context
9.3.2 a few realizations
9.3.3 influence of the numerical method
9.3.4 influence of the grid resolution
9.3.5 sgs modeling
9.4 jets
9.4.1 context
9.4.2 a few realizations
9.4.3 influence of the numerical method
9.4.4 influence of the sgs model
9.4.5 physical analysis
10 supersonic applications with shock-turbulence interaction
10.1 shock-interaction with homogeneous turbulence
10.1.1 phenomenology of shock-interaction with homogeneous turbulence
10.1.2 les of shock-interaction with homogeneous turbulence
10.2 shock-turbulence interaction in jets
10.2.1 phenomenology of shock-turbulence interaction in jets
10.2.2 les of shock-turbulence interaction in jets
10.3 shock-turbulent-boundary-layer interaction
10.3.1 phenomenology of shock-turbulent-boundary-layer interaction
10.3.2 les of compression-ramp configurations
references
index
相关推荐
- 数学建模的实践 上册 裘哲勇 2019年版
- 奇异摄动丛书2:奇异摄动边界层与内层理论
- 科学技术哲学文库 数学真理困境与当代数学实在论研究 刘杰著;郭贵春,殷杰丛书主编 2019年版
- 模糊时间序列模型理论及应用研究
- 数学建模方法及其应用 第3版 韩中庚 编著 2017年版
- 21世纪统计学系列教材 应用回归分析 第4版 [何晓群,刘文卿 编著] 2015年版
- 数学建模方法与应用 侯进军,肖艳清,谭敏等主编 2012年版
- 格致方法 定量研究系列 现代稳健回归方法 [(加)罗伯特 安德森 著] 2012年版
- 数理统计 第四版 师义民编著 2015年版
- 育才学案 高中数学 必修3 人教版 马瑞娟分册主编;杨静丛书主编 2016年版
