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相关概念视频

Conservation of Mass in Finite Cotrol Volume01:16

Conservation of Mass in Finite Cotrol Volume

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The principle of conservation of mass is a fundamental law in fluid mechanics and is applied using the continuity equation. We apply the concept to a finite control volume to derive the continuity equation.
A system is defined as a collection of unchanging contents, and the conservation of mass states that a system's mass is constant.
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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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Continuity Equation01:28

Continuity Equation

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The continuity equation asserts that the mass flow rate must remain constant for a steady flow of an incompressible fluid within a confined system. This principle applies to systems where fluid passes through varying cross-sectional areas, such as nozzles, syringes, and pipes.
The mass flow rate is expressed as:
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Steady, Laminar Flow in Circular Tubes01:23

Steady, Laminar Flow in Circular Tubes

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Hagen-Poiseuille flow describes a viscous fluid's steady, incompressible flow through a cylindrical tube with a constant radius R. This flow profile is often applied to understand fluid transport in narrow channels, such as capillaries. It serves as a foundational example of laminar flow. In this model, cylindrical coordinates (r,θ,z) are used to describe the radial (r), angular (θ), and axial (z) dimensions within the tube. For Hagen-Poiseuille flow, the velocity profile is...
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Eulerian and Lagrangian Flow Descriptions01:22

Eulerian and Lagrangian Flow Descriptions

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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...
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Navier–Stokes Equations01:28

Navier–Stokes Equations

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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...
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相关实验视频

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Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
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Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

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对流体的一种时间一致的稳定有限元素方法,适用于血液动力学.

Dongjie Jia1, Mahdi Esmaily2

  • 1Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, 14850, USA.

Scientific reports
|November 5, 2023
PubMed
概括

一种新的有限元素方法提高了模拟不可压缩流量的准确性,通过将时间步骤大小替换为物理时间尺度,以简化上风的彼得罗夫-加勒金 (SUPG) 术语. 这种一致的配方大大减少了错误,特别是在具有小时间步骤的心血管模拟中.

科学领域:

  • 计算流体动力学 计算流体动力学
  • 数字分析 数字分析
  • 科学计算是科学计算.

背景情况:

  • 不压缩的流动模拟通常使用流线上风的彼得罗夫-加勒金 (SUPG) 稳定.
  • 传统的SUPG配方存在与时间步骤大小相关的不一致问题,在需要小时间步骤的模拟中造成重大错误,例如心血管流.

研究的目的:

  • 通过重新定义 SUPG 稳定术语,为无法压缩的流量提出一致的有限元方法.
  • 消除与传统的SUPG配方相关的方法不一致性,特别是在小时间步骤大小.

主要方法:

  • 引入了SUPG稳定术语的新定义,用物理时间尺度取代时间步骤大小.
  • 物理时间尺度计算为加速度与速度的L2规范的比率.
  • 拟议的方法与常规方法在稳定的管道流动,血管血流,跨越障碍物的外部流动和流体结构相互作用模拟中进行了测试.

主要成果:

  • 拟议的配方成功地消除了在所有测试案例中传统的SUPG方法中存在的不一致问题.
  • 虽然在计算上稍微昂贵一些,但新方法显著减少了模拟错误,特别是对于小时间步骤大小.
  • 对于稳定的管道流量,传统方法预测过度的压力下降是三倍的,这个错误在拟议的配方下降到大约1%.

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结论:

  • 建议的一致的有限元法有效地解决了SUPG公式的时间步骤依赖问题.
  • 这种新方法可显著减少不可压缩流体模拟的数值误差,特别是在诸如心血管建模等复杂场景中.
  • 该方法很容易实现,在各种流量条件和时间步骤大小中提供更准确,更可靠的解决方案.