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相关概念视频

Modeling and Similitude01:12

Modeling and Similitude

295
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Typical Model Studies01:30

Typical Model Studies

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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

268
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
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Accelerating Fluids

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When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
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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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Pressure of Fluids01:14

Pressure of Fluids

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There are many examples of pressure in fluids in everyday life, such as in relation to blood (high or low blood pressure) and in relation to weather (high- and low-pressure weather systems). A given force can have a significantly different effect, depending on the area over which the force is exerted. For instance, a force applied to an area of 1 mm2 has a pressure that is 100 times greater than the same force applied to an area of 1 cm2. That's why a sharp needle is able to poke through...
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科学机器学习用于建模和模拟复杂流体.

Kyle R Lennon1, Gareth H McKinley2, James W Swan1

  • 1Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02142.

Proceedings of the National Academy of Sciences of the United States of America
|June 26, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的数据驱动框架,用于为复杂流体创建精确的学构成方程. 新的模型灵活,尊重物理定律,在不同的实验条件下工作.

关键词:
构成方程的组成方程.机器学习是机器学习.类风病学 类风病学 类风病学软物质是一种软物质.

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科学领域:

  • 风病学和软物质物理学
  • 计算流体动力学的流体动力学.
  • 材料科学 材料科学 材料科学

背景情况:

  • 在工程软材料方面,开发精确的学构成方程至关重要.
  • 现有的数据驱动模型与复杂的流体动力学的各种实验数据作斗争.
  • 以前的机器学习模型在不同的变形协议之间缺乏可移植性.

研究的目的:

  • 提出一个灵活的,数据驱动的框架,用于构建学构成方程.
  • 能够创建包含物理约束并独立于实验特点的模型.
  • 在复杂的流体动力学中克服经典机器学习的局限性.

主要方法:

  • 开发了一个科学机器学习框架,在物质客观的张量构成框架内使用通用近似器.
  • 保证模型本质上尊重像框架不变性和张量对称性这样的物理约束.
  • 在有限的数据上训练模型并验证它们描述复杂流量的能力.

主要成果:

  • 该框架有助于从有限的数据中快速发现准确的组成方程.
  • 学习模型可以描述动力学复杂的流动,显示出高度的灵活性.
  • 在多维计算流体动力学模拟中成功部署训练模型.

结论:

  • 拟议的框架为复杂流体的数据驱动的学建模提供了一个强大的解决方案.
  • 这些"数字流体双胞胎"适用于各种材料系统和工程挑战.
  • 这种方法促进了机器学习在学和流体动力学中的应用.