Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Bernoulli's Equation for Flow Along a Streamline01:30

Bernoulli's Equation for Flow Along a Streamline

830
Bernoulli's equation relates the energy conservation in a fluid moving along a streamline. The equation applies to incompressible and inviscid fluids under steady flow. For such a flow, Newton's second law is applied to a small fluid element, which experiences forces due to pressure differences, gravity, and velocity variations. The force balance leads to the following form of Bernoulli's equation:
830
Bernoulli's Equation for Flow Normal to a Streamline01:16

Bernoulli's Equation for Flow Normal to a Streamline

729
Bernoulli's equation for flow normal to a streamline explains how pressure varies across curved streamlines due to the outward centrifugal forces induced by the fluid's curvature. The pressure is higher on the inner side of the curve, near the center of curvature, and decreases outward to balance these centrifugal forces.
The pressure difference depends on the fluid's velocity and radius of curvature. The pressure variation is minimal in flows with nearly straight streamlines.
729
Rapidly Varying Flow01:24

Rapidly Varying Flow

56
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
56
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

59
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
59
Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

207
Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
207
Dimensionless Groups in Fluid Mechanics01:15

Dimensionless Groups in Fluid Mechanics

307
Dimensionless groups in fluid mechanics provide simplified ratios that help analyze fluid behavior without relying on specific units. The Reynolds number (Re), which represents the ratio of inertial to viscous forces, distinguishes between laminar and turbulent flows, making it essential in the design of pipelines and aerodynamic surfaces. The Froude number (Fr), the ratio of inertial to gravitational forces, is particularly useful in predicting wave formation and hydraulic jumps in...
307

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Defibrillation Testing in Patients Undergoing Replacement of the S-ICD Generator: Is There Still a Need?

Pacing and clinical electrophysiology : PACE·2024
Same author

Micro-jet formation induced by the interaction of a spherical and toroidal cavitation bubble.

Ultrasonics sonochemistry·2024
Same author

Amplification of Supersonic Microjets by Resonant Inertial Cavitation-Bubble Pair.

Physical review letters·2024
Same author

General mechanisms for stabilizing weakly compressible models.

Physical review. E·2023
Same author

Analysis and reconstruction of the multiphase lattice Boltzmann flux solver for multiphase flows with large density ratios.

Physical review. E·2022
Same author

Resolution of left atrial appendage thrombi: No difference between phenprocoumon and non-vitamin K-dependent oral antagonists.

Clinical cardiology·2022

相关实验视频

Updated: Jun 12, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

16.6K

三维里曼问题的流场数据.

Nils Hoppe1, Nico Fleischmann1, Benedikt Biller1

  • 1Chair of Aerodynamics and Fluid Mechanics, Technical University of Munich, Boltzmannstr. 15, 85748 Garching, Germany.

Data in brief
|September 23, 2024
PubMed
概括

这项研究提出了用于验证可压缩流量解决器的新的3D里曼问题,揭示了常见的解决器问题. 这些数据可以进行定量比较,以提高计算流体动力学 (CFD) 的准确性.

关键词:
可压缩的流量可以压缩.气体动力学 气体动力学高阶方法 高阶方法高分辨率的高分辨率

更多相关视频

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

12.2K
Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
09:58

Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp

Published on: February 3, 2014

8.5K

相关实验视频

Last Updated: Jun 12, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

16.6K
Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

12.2K
Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
09:58

Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp

Published on: February 3, 2014

8.5K

科学领域:

  • 计算流体动力学 (CFD) 是一种计算流体动力学.
  • 流体力学 流体力学 流体力学
  • 数字分析 数字分析

背景情况:

  • 对于可压缩流量溶解器的现有验证案例仅限于1D或2D,无法捕捉固有的3D流量的复杂性.
  • 精确模拟3D可压缩流动对于各种工程和科学应用至关重要.

研究的目的:

  • 为验证和验证可压缩流量解决器引入真正的三维 (3D) 里曼问题.
  • 提供模拟数据,突出现有解决方案的常见缺陷,如虚假振荡和对称性破坏.
  • 为了促进不同解决器和数值方法之间的定量比较.

主要方法:

  • 使用开源ALPACA可压缩流量解决器模拟3D里曼问题.
  • 使用HLLC和Roe Riemann解答器和第五阶WENO重建实现有限体积方案.
  • 在高性能计算集群 (>300核心) 上进行模拟.

主要成果:

  • 为3D里曼问题生成模拟数据,旨在诱导3D效应并触发解决器缺陷.
  • 识别诸如虚假的压力振荡,非物理的对称性破坏,以及溶解器性能中的冲击干扰等问题.
  • 提供原始流域数据,输入文件,后处理脚本和可视化.

结论:

  • 提供的数据集为严格验证3D可压缩流量溶解器提供了宝贵的资源.
  • 三维里曼问题有效地揭示了当前数值方法的局限性.
  • 附带的数据有助于进行可复制的研究和开发更强大的CFD工具.