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Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

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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...
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Velocity Potential01:20

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In steady, incompressible flow through a long, straight pipe with a uniform cross-section, the flow in the central region (far from the pipe walls) is irrotational. This irrotational nature means that fluid particles do not rotate around their axes, and a scalar function called the velocity potential, represented by ϕ, can be used to describe their movement. In irrotational flows, the velocity field V is defined as the gradient of the velocity potential:
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Velocity and Acceleration in Steady and Unsteady Flow01:11

Velocity and Acceleration in Steady and Unsteady Flow

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In fluid mechanics, velocity and acceleration are key concepts for analyzing particle motion in both steady and unsteady flow. Consider a fluid particle moving along a pathline, where its velocity depends on its position and time. The particle's acceleration is obtained by differentiating the velocity with respect to time.
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Pressure Variation in a Fluid at Rest01:11

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In a fluid at rest, the pressure at any point beneath the fluid surface depends solely on the depth, not on the container's shape or size. This principle, known as hydrostatic pressure, arises because, in stationary fluids, there is no acceleration, meaning the forces within the fluid balance out. Only vertical forces, caused by the weight of the fluid above, contribute to pressure changes with depth.
When measuring pressure at two different levels within the fluid, the difference in...
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Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

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Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
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Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

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A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...
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Video Experimental Relacionado

Updated: Dec 29, 2025

Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole
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Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole

Published on: August 26, 2019

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Mecánica de fluidos oculta: aprendizaje de velocidad y campos de presión a partir de visualizaciones de flujo

Maziar Raissi1,2, Alireza Yazdani3, George Em Karniadakis1

  • 1Division of Applied Mathematics, Brown University, Providence, RI 02906, USA. maziar.raissi@colorado.edu george_karniadakis@brown.edu.

Science (New York, N.Y.)
|February 1, 2020
PubMed
Resumen

La mecánica de fluidos oculta (HFM) utiliza el aprendizaje profundo basado en la física para extraer la velocidad y la presión del fluido de las imágenes, incluso con ruido. Este nuevo marco resuelve problemas complejos de dinámica de fluidos donde la medición directa es difícil.

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Área de la Ciencia:

  • Dinámica de fluidos
  • Física computacional
  • Ingeniería biomédica

Sus antecedentes:

  • La visualización de flujos ha ayudado históricamente al estudio del movimiento de fluidos en sistemas físicos y biológicos.
  • Las ecuaciones de Navier-Stokes describen teóricamente el flujo de fluidos, pero extraer datos cuantitativos como la velocidad y la presión de las observaciones visuales sigue siendo un desafío.
  • La medición directa de la dinámica de fluidos puede ser difícil o imposible en muchos escenarios.

Objetivo del estudio:

  • Desarrollar un nuevo marco de aprendizaje profundo basado en la física, Hidden Fluid Mechanics (HFM), para superar las limitaciones en la extracción de datos cuantitativos de dinámica de fluidos a partir de observaciones.
  • Para crear un marco versátil que codifica las ecuaciones de Navier-Stokes, permitiendo el análisis a través de diversas geometrías y condiciones.
  • Demostrar la aplicación práctica de la HFM para extraer información cuantitativa de los sistemas físicos y biomédicos que de otro modo sería inaccesible.

Principales métodos:

  • Desarrollado Hidden Fluid Mechanics (HFM), un marco de aprendizaje profundo basado en la física.
  • Integrado las ecuaciones de Navier-Stokes directamente en la arquitectura de la red neuronal.
  • HFM diseñado para ser agnóstico de geometrías específicas, condiciones iniciales y límite para una amplia aplicabilidad.

Principales resultados:

  • Se ha demostrado con éxito la HFM para diversos problemas de flujo físico y biomédico.
  • Permitió la extracción de campos cuantitativos de velocidad y presión de los datos de visualización de flujo.
  • Demostró la robustez de HFM para imágenes de baja resolución y ruido significativo en datos de observación.

Conclusiones:

  • HFM proporciona un enfoque poderoso y basado en datos para analizar cuantitativamente el movimiento del fluido.
  • La capacidad del marco para manejar datos ruidosos y de baja resolución abre nuevas posibilidades para la investigación y las aplicaciones de la dinámica de fluidos.
  • La HFM ofrece un avance significativo en la mecánica de fluidos, particularmente para escenarios donde la medición directa no es práctica.