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相关概念视频

Bernoulli's Equation for Flow Along a Streamline01:30

Bernoulli's Equation for Flow Along a Streamline

625
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:
625
Divergence and Stokes' Theorems01:06

Divergence and Stokes' Theorems

1.5K
The divergence and Stokes' theorems are a variation of Green's theorem in a higher dimension. They are also a generalization of the fundamental theorem of calculus. The divergence theorem and Stokes' theorem are in a way similar to each other; The divergence theorem relates to the dot product of a vector, while Stokes' theorem relates to the curl of a vector. Many applications in physics and engineering make use of the divergence and Stokes' theorems, enabling us to write...
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Couette Flow01:22

Couette Flow

196
Couette flow represents the flow of fluid between two parallel plates, with one plate fixed and the other moving with a constant velocity. This configuration allows for a simplified analysis using the Navier-Stokes equations, which govern fluid motion under conditions of viscosity and incompressibility. For Couette flow, the assumptions include a steady, laminar, incompressible flow with a zero-pressure gradient in the flow direction. This flow type is beneficial for understanding shear-driven...
196
Bernoulli's Equation for Flow Normal to a Streamline01:16

Bernoulli's Equation for Flow Normal to a Streamline

543
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.
543
Navier–Stokes Equations01:28

Navier–Stokes Equations

419
For incompressible Newtonian fluids, where density remains constant, stresses show a linear relationship with the deformation rate, defined by normal and shear stresses. Normal stresses depend on the pressure exerted on the fluid and the rate of deformation in specific directions, which determines how fluid flows under varying pressures. Shear stresses, on the other hand, act tangentially across fluid layers. They explain how adjacent fluid layers slide relative to one another, connecting...
419
Stokes' Law01:20

Stokes' Law

1.1K
Viscous forces, like friction, are intermolecular forces that resist the relative motion of molecules over each other. When a solid body moves through a liquid, viscous forces drag it in the opposite direction. The force's magnitude depends on the solid's shape and size, as well as its speed and the liquid's coefficient of viscosity, density and temperature.
The expression for the force on a solid spherical object in a fluid is called Stokes' law. Stokes' law is valid only...
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相关实验视频

Updated: May 31, 2025

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180&#176; Curved Artery Test Section
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Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

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斯托克斯流在一个二维的分叉.

Yidan Xue1,2,3, Stephen J Payne4, Sarah L Waters1

  • 1Mathematical Institute, University of Oxford, Oxford, UK.

Royal Society open science
|January 23, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的算法,用于准确地模拟分叉网络中的流体流动,揭示了与传统模型相比,几何学显著影响流动. 机器学习对这些复杂的流体导电量进行参数化,以获得更好的预测.

关键词:
斯托克斯的流量流动.两叉分支的分支是什么意思比哈尔莫尼克方程式流量网络流量网络流量网络流量闪电解决器 闪电解决器

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科学领域:

  • 流体动力学 流体动力学
  • 计算数学是指计算数学.
  • 生物物理学的生物物理.

背景情况:

  • 传统的流量网络模型使用Poiseuille定律近似估计压力-流量关系.
  • 这些模型往往忽略了分叉几何和内部对象对流动动学的影响.
  • 准确的建模对于理解各种生物和工程系统至关重要.

研究的目的:

  • 研究双叉几何和固定对象对2D网络中斯托克斯流的影响.
  • 开发一种比Poiseuille定律更准确的方法来计算超越Poiseuille定律的流电导度.
  • 用机器学习来参数化流体导电量,用于实际应用.

主要方法:

  • 使用了闪电-AAA理性Stokes算法,这是基于复杂分析的无网格方法.
  • 解决了具有不同几何参数 (角度,宽度,曲线) 和对象的二叉路口的2D斯托克斯流量问题.
  • 采用机器学习来创建流程传导的预测模型.

主要成果:

  • 计算了各种2D分叉几何形状和对象配置的流导率.
  • 计算电导率与波泽尔定律近似值之间的量化偏差.
  • 开发了机器学习模型,根据几何参数准确预测流动导电量.

结论:

  • 与简单的Poiseuille流相比,分叉几何和内部物体显著改变了流动特性.
  • 新的算法和机器学习方法提供了更准确的流动导电性预测.
  • 整合详细的几何形状对于提高流量网络模型的可靠性至关重要.