• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Prospectus: towards the development of high-fidelity models of wall turbulence at large Reynolds number.招股说明书:迈向大雷诺数下壁面湍流高保真模型的发展
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0092.
2
A self-sustaining process model of inertial layer dynamics in high Reynolds number turbulent wall flows.高雷诺数湍流壁面流动中惯性层动力学的自维持过程模型。
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0090.
3
Phase relations in a forced turbulent boundary layer: implications for modelling of high Reynolds number wall turbulence.强迫湍流边界层中的相位关系:对高雷诺数壁面湍流建模的启示
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0080.
4
Scaling and interaction of self-similar modes in models of high Reynolds number wall turbulence.高雷诺数壁面湍流模型中自相似模式的尺度缩放与相互作用
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0089.
5
Turbulent transport and mixing in transitional Rayleigh-Taylor unstable flow: A priori assessment of gradient-diffusion and similarity modeling.过渡瑞利-泰勒不稳定流中的湍流传质与混合:梯度扩散和相似性建模的先验评估。
Phys Rev E. 2017 Dec;96(6-1):063111. doi: 10.1103/PhysRevE.96.063111. Epub 2017 Dec 14.
6
Self-sustaining processes at all scales in wall-bounded turbulent shear flows.壁面边界湍流剪切流中所有尺度的自持过程。
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0088.
7
Modelling high Reynolds number wall-turbulence interactions in laboratory experiments using large-scale free-stream turbulence.在实验室实验中利用大规模自由流湍流对高雷诺数壁面湍流相互作用进行建模。
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0091.
8
Reynolds number trend of hierarchies and scale interactions in turbulent boundary layers.湍流边界层中层级结构和尺度相互作用的雷诺数趋势
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0077.
9
Reynolds stress scaling in pipe flow turbulence-first results from CICLoPE.管道流动湍流中的雷诺应力缩放——CICLoPE的初步结果
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0187.
10
A statistical state dynamics approach to wall turbulence.一种用于壁面湍流的统计状态动力学方法。
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0081.

引用本文的文献

1
Self-similar Rayleigh-Taylor mixing with accelerations varying in time and space.具有时变和空变加速度的自相似瑞利-泰勒混合。
Proc Natl Acad Sci U S A. 2022 Nov 22;119(47):e2118589119. doi: 10.1073/pnas.2118589119. Epub 2022 Nov 14.

本文引用的文献

1
Reynolds stress scaling in pipe flow turbulence-first results from CICLoPE.管道流动湍流中的雷诺应力缩放——CICLoPE的初步结果
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0187.
2
Modelling high Reynolds number wall-turbulence interactions in laboratory experiments using large-scale free-stream turbulence.在实验室实验中利用大规模自由流湍流对高雷诺数壁面湍流相互作用进行建模。
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0091.
3
A self-sustaining process model of inertial layer dynamics in high Reynolds number turbulent wall flows.高雷诺数湍流壁面流动中惯性层动力学的自维持过程模型。
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0090.
4
Scaling and interaction of self-similar modes in models of high Reynolds number wall turbulence.高雷诺数壁面湍流模型中自相似模式的尺度缩放与相互作用
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0089.
5
Self-sustaining processes at all scales in wall-bounded turbulent shear flows.壁面边界湍流剪切流中所有尺度的自持过程。
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0088.
6
Structure identification in pipe flow using proper orthogonal decomposition.使用本征正交分解法进行管道流动中的结构识别
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0086.
7
Statistical evidence of anasymptotic geometric structure to the momentum transporting motions in turbulent boundary layers.湍流边界层中动量传输运动存在渐近几何结构的统计证据。
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0084.
8
Low-dimensional representation of near-wall dynamics in shear flows, with implications to wall-models.剪切流中近壁动力学的低维表示及其对壁模型的影响。
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0082.
9
A statistical state dynamics approach to wall turbulence.一种用于壁面湍流的统计状态动力学方法。
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0081.
10
Phase relations in a forced turbulent boundary layer: implications for modelling of high Reynolds number wall turbulence.强迫湍流边界层中的相位关系:对高雷诺数壁面湍流建模的启示
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0080.

招股说明书:迈向大雷诺数下壁面湍流高保真模型的发展

Prospectus: towards the development of high-fidelity models of wall turbulence at large Reynolds number.

作者信息

Klewicki J C, Chini G P, Gibson J F

机构信息

Department of Mechanical Engineering, University of New Hampshire, Durham, NH 03824, USA

Integrated Applied Mathematics Program, University of New Hampshire, Durham, NH 03824, USA.

出版信息

Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0092.

DOI:10.1098/rsta.2016.0092
PMID:28167585
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5311456/
Abstract

Recent and on-going advances in mathematical methods and analysis techniques, coupled with the experimental and computational capacity to capture detailed flow structure at increasingly large Reynolds numbers, afford an unprecedented opportunity to develop realistic models of high Reynolds number turbulent wall-flow dynamics. A distinctive attribute of this new generation of models is their grounding in the Navier-Stokes equations. By adhering to this challenging constraint, high-fidelity models ultimately can be developed that not only predict flow properties at high Reynolds numbers, but that possess a mathematical structure that faithfully captures the underlying flow physics. These first-principles models are needed, for example, to reliably manipulate flow behaviours at extreme Reynolds numbers. This theme issue of Philosophical Transactions of the Royal Society A provides a selection of contributions from the community of researchers who are working towards the development of such models. Broadly speaking, the research topics represented herein report on dynamical structure, mechanisms and transport; scale interactions and self-similarity; model reductions that restrict nonlinear interactions; and modern asymptotic theories. In this prospectus, the challenges associated with modelling turbulent wall-flows at large Reynolds numbers are briefly outlined, and the connections between the contributing papers are highlighted.This article is part of the themed issue 'Toward the development of high-fidelity models of wall turbulence at large Reynolds number'.

摘要

数学方法和分析技术方面最近及正在取得的进展,再加上在越来越高的雷诺数下捕捉详细流动结构的实验和计算能力,为开发高雷诺数湍流壁面流动动力学的真实模型提供了前所未有的机会。新一代模型的一个显著特点是它们基于纳维 - 斯托克斯方程。通过遵循这一具有挑战性的约束条件,最终可以开发出高保真模型,这些模型不仅能预测高雷诺数下的流动特性,而且具有能忠实地捕捉潜在流动物理过程的数学结构。例如,在极端雷诺数下可靠地控制流动行为就需要这些第一性原理模型。《皇家学会哲学学报A》的这一专题特刊提供了一系列来自致力于开发此类模型的研究人员群体的投稿。大致而言,本文所代表的研究主题报告了动力学结构、机制和输运;尺度相互作用和自相似性;限制非线性相互作用的模型简化;以及现代渐近理论。在本引言中,简要概述了与在大雷诺数下对湍流壁面流动进行建模相关的挑战,并突出了各投稿论文之间的联系。本文是“迈向大雷诺数下壁面湍流高保真模型的发展”这一专题特刊的一部分。