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相关概念视频

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.
The acceleration can be generalized to any point in the flow, and expressed as components along three perpendicular directions, representing changes in velocity over...
107
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.
359
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

74
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
74
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Rapidly Varying Flow01:24

Rapidly Varying Flow

62
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...
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Conservation of Mass in Moving, Nondeforming Control Volume01:14

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Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
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相关实验视频

Updated: Jul 4, 2025

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
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一个混合流模型用于异质的车辆,强制执行运动控制协议,利用基于车辆尺寸的平衡速度函数.

Md Anowar Hossain1, Jun Tanimoto1,2

  • 1Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka, 816-8580, Japan.

Heliyon
|January 31, 2024
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概括

这项研究引入了一种新的交通模型,考虑了各种车辆大小,改善了交通流的预测. 该模型有效中和流场,并分析密度波,通过模拟验证.

关键词:
多样化的车辆能力.与车辆尺寸相关的平衡速度函数.混合流的宏观交通模型.

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科学领域:

  • 交通流动动态 交通流动动态
  • 连续机械学的连续力学.
  • 非线性动力学是一种非线性动力学.

背景情况:

  • 不同类型的车辆大小对交通流动模式产生重大影响.
  • 现有的交通模式往往过于简化了车辆尺寸的影响.
  • 了解交通流动的稳定性对于高效的运输系统至关重要.

研究的目的:

  • 开发一个包含异质车辆尺寸的连续交通模型.
  • 引入一个新的平衡速度函数,取决于交通密度.
  • 分析拟议的交通模型的稳定性和密度波行为.

主要方法:

  • 开发一种新的平衡速度函数.
  • 与最佳速度 (OV) 和完全速度差异 (FVD) 模型进行定量比较.
  • 中性稳定性测试和非线性分析以推断Korteweg-de Vries-Burgers (KdVB) 方程.
  • 数字模拟用于验证分析结果.

主要成果:

  • 新型车在量化上比较了OV和FVD模型,强调了车辆尺寸的影响.
  • 中性稳定性测试证实了该模型能够中和流场的能力.
  • 非线性分析成功推导出KdVB方程,描述密度波的行为.
  • 数字模拟与分析结果密切匹配,验证了模型的预测能力.

结论:

  • 拟议的交通模型有效地捕捉了异质车辆尺寸对交通流量的影响.
  • 该模型为分析流量稳定性和波浪现象提供了一个强大的框架.
  • 这些发现为交通管理和智能交通系统的设计提供了宝贵的见解.