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相关概念视频

Typical Model Studies01:30

Typical Model Studies

382
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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Propagation of Waves01:07

Propagation of Waves

2.4K
When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
2.4K
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
217
Design Example: Maintaining Level of an Embankment01:19

Design Example: Maintaining Level of an Embankment

91
Constructing a roadway embankment over uneven terrain requires precise leveling to ensure stability and proper drainage. Surveyors use a leveling instrument and staff to calculate ground elevations and determine the required fill material at each point along the embankment alignment.The process begins by positioning a leveling instrument near a benchmark with a known elevation. A backsight reading establishes the instrument height, which serves as a reference for subsequent measurements. A...
91
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

71
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Rapidly Varying Flow01:24

Rapidly Varying Flow

97
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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相关实验视频

Updated: Jul 19, 2025

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
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使用机器学习算法在垂直断水上进行增强的波浪超越模拟.

M A Habib1, J J O'Sullivan1,2, S Abolfathi3

  • 1UCD Dooge Centre for Water Resources Research, School of Civil Engineering, University College Dublin, Dublin, Ireland.

PloS one
|August 16, 2023
PubMed
概括
此摘要是机器生成的。

机器学习模型准确地预测了垂直海墙上的波浪覆盖. 随机森林和梯度增强决策树为沿海保护战略提供了卓越的性能和计算效率.

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科学领域:

  • 沿海工程的工程.
  • 液压系统 液压系统 液压系统
  • 机器学习应用程序 机器学习应用程序

背景情况:

  • 准确的波浪超标预测对于防范海平面上升和风暴浪潮的沿海防御至关重要.
  • 传统方法依赖于物理和数值模型的经验关系.
  • 机器学习 (ML) 为超越预测提供了先进的数据驱动方法.

研究的目的:

  • 评估四种ML技术的性能,用于预测垂直海墙上的波浪突破排放.
  • 为了比较随机森林,梯度增强决策树,支持向量机-回归和人工神经网络的预测准确度和计算效率.
  • 调查ML在各种沿海条件下对波浪超标评估的适用性.

主要方法:

  • 使用EurOtop (2018) 数据库开发ML模型.
  • 应用超参数调整用于算法优化.
  • 使用特征转换和选择来减少数据冗余并防止过度拟合.
  • 统计分析以比较随机森林,梯度增强决策树,支持向量机-回归和人工神经网络的性能.

主要成果:

  • 随机森林展示了卓越的预测性能,其次是梯度增强决策树,支持向量机-回归和人工神经网络.
  • 基于决策树的方法 (随机森林,梯度增强决策树) 在计算上比支持向量机-回归和人工神经网络更有效.
  • 渐变增强决策树表现出最快的模拟时间.

结论:

  • 机器学习方法提供了一种可靠且有效的计算方法,用于在垂直海墙上评估波浪覆盖.
  • 随机森林和梯度增强决策树因其在沿海工程应用中的准确性和效率而被推.
  • 机器学习模型可以有效地评估波浪覆盖在广泛的水力动力学和结构条件.