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

913
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...
913
Rapidly Varying Flow01:24

Rapidly Varying Flow

36
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...
36
Deriving the Speed of Sound in a Liquid01:09

Deriving the Speed of Sound in a Liquid

450
As with waves on a string, the speed of sound or a mechanical wave in a fluid depends on the fluid's elastic modulus and inertia. The two relevant physical quantities are the bulk modulus and the density of the material. Indeed, it turns out that the relationship between speed and the bulk modulus and density in fluids is the same as that between the speed and the Young's modulus and density in solids.
The speed of sound in fluids can be derived by considering a mechanical wave...
450

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

Hemostatic properties of mesoporous silica nanoparticles loaded with Typhae Pollen-derived carbon dots.

RSC advances·2026
Same author

Highly Dispersed Co/CoO Nanoparticles Anchored on N-Doped Biochar Enhanced Peroxymonosulfate Activation for Efficient Norfloxacin Degradation.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Exposure to dimethyl phthalate induces oxidative stress and autophagy in gill of Zebrafish via the PI3K/AKT/mTOR pathway: Protective role of 1,8-cineole.

Aquatic toxicology (Amsterdam, Netherlands)·2026
Same author

Preliminary Study of Main Pathogenicity Factors and Metabolites of <i>Wilsonomyces carpophilus</i>.

Plants (Basel, Switzerland)·2026
Same author

Optimizing Ternary Preparation Parameters of Thin-Film Nanocomposite Membranes for Tailored Selectivity via Interpretable Machine Learning.

Environmental science & technology·2026
Same author

Integrated metabolomics and transcriptomics analysis unveils key metabolic pathways and potential biomarkers in clear cell renal cell carcinoma.

Discover oncology·2026

相关实验视频

Updated: May 14, 2025

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

17.0K

通过分布式声学传感解码流体流动特征:一种新的方法

Haochu Ku1, Kunpeng Zhang1,2, Xiangge He1,3

  • 1Beijing International Center for Gas Hydrate, School of Earth and Space Sciences, Peking University, Beijing 100871, China.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
概括

分布式声学传感 (DAS) 有效地监测管道中的流体流动特性. DAS提供实时,多点数据,以提高石油和天然气运输安全性和生产优化.

关键词:
分布式声学传感传感器流动频率特征 流动频率特征阶段流程的流动阶段流程.流量 流量 流量 流量 流量 流量

更多相关视频

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

11.9K
Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

2.6K

相关实验视频

Last Updated: May 14, 2025

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

17.0K
Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

11.9K
Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

2.6K

科学领域:

  • 地质物理学 地质物理学
  • 流体动力学 流体动力学
  • 传感器技术 传感器技术

背景情况:

  • 流量特征监测对于石油和天然气运输安全和生产至关重要.
  • 传统的流量计缺乏分布式的实时监控功能.
  • 分布式声学传感 (DAS) 为动态流体分析提供高分辨率,多点传感.

研究的目的:

  • 评估使用DAS用于监测流体迁移特性的可行性.
  • 分析各种流动模式 (气体,液体,双相) 的声信号差异.
  • 探索DAS以进行定性流速估计.

主要方法:

  • 使用了一个室内物理模拟管道循环.
  • 在不同的流量条件下 (噪音,单相,双相) 收集声信号.
  • 进行了频率-功率光谱密度和自身相关性分析.

主要成果:

  • 气相流显示低频信号;液相流显示更广泛的尖峰.
  • 气液两相流提供了最宽的频率范围和最强的振幅.
  • 自动相关性揭示了每个流量类型的独特模式,RMS能量与流速相关.

结论:

  • DAS是一种可行的技术,用于监测管道中的流体流动特性.
  • 信号分析 (频率,自相关性,能量) 区分了流动模式.
  • 进一步的研究可以提高DAS的精确流量测定和管道监控.