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

Eulerian and Lagrangian Flow Descriptions01:22

Eulerian and Lagrangian Flow Descriptions

1.3K
Fluid flow analysis is critical in many scientific and engineering disciplines, and two principal approaches are used to describe this flow: the Eulerian and Lagrangian methods. These methods offer different perspectives on monitoring and analyzing the motion of fluids, each with distinct advantages depending on the scenario.
The Eulerian method focuses on fixed points in space where fluid properties, such as velocity, pressure, and temperature, are observed as the fluid moves between these...
1.3K
Irrotational Flow01:28

Irrotational Flow

426
Irrotational flow is characterized by fluid motion where particles do not rotate around their axes, resulting in zero vorticity. For a flow to be irrotational, the curl of the velocity field must be zero. This imposes specific conditions on velocity gradients. For instance, to maintain zero rotation about the z-axis, the gradient condition:
426
Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

8.5K
Fluid dynamics is the study of fluids in motion. Velocity vectors are often used to illustrate fluid motion in applications like meteorology. For example, wind—the fluid motion of air in the atmosphere—can be represented by vectors indicating the speed and direction of the wind at any given point on a map. Another method for representing fluid motion is a streamline. A streamline represents the path of a small volume of fluid as it flows. When the flow pattern changes with time, the...
8.5K
Viscosity of Fluid01:19

Viscosity of Fluid

360
Viscosity measures the resistance a fluid offers to flow and deformation. It results from internal friction between layers of fluid moving relative to one another. Dynamic viscosity, denoted by the Greek letter mu (μ), quantifies the force needed to move one fluid layer over another. For Newtonian fluids like water and air, the relationship between the shearing stress and the rate of shearing strain is linear, meaning their viscosity remains constant regardless of the applied stress.
360
Toroids01:27

Toroids

2.9K
A toroid is a closely wound donut-shaped coil constructed using a single  conducting wire. In general, it is assumed that a toriod consists of  multiple circular loops perpendicular to its axis.
When connected to a supply, the magnetic field generated in the toroid has field lines circular and concentric to its axis. Conventionally, the direction of this magnetic field is expressed using the right-hand rule. If the fingers of the right hand curl in the current direction, the thumb...
2.9K
Turbulent Flow01:24

Turbulent Flow

150
Turbulent flow is characterized by unpredictable fluctuations in velocity and pressure, which result in a chaotic fluid movement distinct from the orderly patterns of laminar flow. While laminar flow is governed by smooth, parallel layers with minimal mixing, turbulent flow exhibits highly irregular, three-dimensional patterns. This behavior arises due to instabilities in the fluid's velocity profile, and amplifies as the flow velocity increases. Minor disturbances, known as turbulent...
150

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

Visibility Optimization for Direct and Indirect Volume Rendering Using Level Set Propagation.

IEEE transactions on visualization and computer graphics·2026
Same author

Locally Adapted Reference Frame Fields using Moving Least Squares.

IEEE transactions on visualization and computer graphics·2026
Same author

Uncertainty-Aware PCA Revisited.

IEEE transactions on visualization and computer graphics·2025
Same author

Understanding Aortic Dissection Hemodynamics: Evaluating Adapted Smoke Surfaces Against Streakline-Based Techniques.

IEEE transactions on visualization and computer graphics·2025
Same author

Unified Smooth Vector Graphics: Modeling Gradient Meshes and Curve-Based Approaches Jointly as Poisson Problem.

IEEE transactions on visualization and computer graphics·2025
Same author

Trajectory Vorticity - Computation and Visualization of Rotational Trajectory Behavior in an Objective Way.

IEEE transactions on visualization and computer graphics·2024
Same journal

FGO-SLAM++: Real-time Geometry-Aware Gaussian SLAM with Continuous Opacity Field.

IEEE transactions on visualization and computer graphics·2026
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
查看所有相关文章

相关实验视频

Updated: Jun 13, 2025

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
09:17

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods

Published on: April 23, 2018

10.7K

客观拉格朗日旋核心及其视觉表示

Tobias Gunther, Holger Theisel

    IEEE transactions on visualization and computer graphics
    |September 9, 2024
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了流体流量分析的第一个目标和拉格朗日旋核心定义. 它确保了的核心线是真正的路线,提高了依赖时间的流动模拟的准确性.

    更多相关视频

    Preparation of Free-Surface Hyperbolic Water Vortices
    04:35

    Preparation of Free-Surface Hyperbolic Water Vortices

    Published on: July 28, 2023

    2.5K
    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
    11:00

    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

    Published on: July 19, 2016

    11.6K

    相关实验视频

    Last Updated: Jun 13, 2025

    Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
    09:17

    Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods

    Published on: April 23, 2018

    10.7K
    Preparation of Free-Surface Hyperbolic Water Vortices
    04:35

    Preparation of Free-Surface Hyperbolic Water Vortices

    Published on: July 28, 2023

    2.5K
    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
    11:00

    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

    Published on: July 19, 2016

    11.6K

    科学领域:

    • 流体动力学 流体动力学
    • 计算科学 计算科学

    背景情况:

    • 旋核心提取对于分析时间依赖的流体流量至关重要.
    • 现有的方法难以满足线的客观性和拉格朗日约束.
    • 对于线的拉格朗特征的保证仍然是一个公开的挑战.

    研究的目的:

    • 提出第一个既客观又拉格朗日的旋核心定义.
    • 开发一种方法,以确保的核心线是流体流动的真实路线.
    • 为了能够准确地可视化2D和3D时间依赖流程中的旋核心.

    主要方法:

    • 将观察者运动限制在路线上,以减少自由度.
    • 优化观察者旋转以实现稳定的观测流.
    • 计算旋偏差误差,并使用梯度下降以获得亚声元准确度.
    • 通过流线可视化的核心作为路线,并通过流线旋转运动.

    主要成果:

    • 成功定义了目标和拉格朗的线.
    • 证明优化在其他地方产生非零时间局部衍生品.
    • 在使用梯度下降的角线提取中实现了亚声元精度.
    • 验证了对各种2D和3D时间依赖向量场的方法.

    结论:

    • 拟议的方法提供了第一个正式客观和拉格朗日的核心定义.
    • 这种方法准确地识别了复杂流中的旋核心线作为路线.
    • 该技术提供了改善的可视化和分析流体动力学中旋结构.