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相关概念视频

Maximum Deflection01:13

Maximum Deflection

547
When analyzing beams under unsymmetrical loads, such as a train moving on a bridge, it is crucial to accurately determine the points of maximum stress and deflection. The process involves identifying the maximum deflection of the beam, which may not always occur at its midpoint due to the uneven distribution of the load.
The maximum deflection occurs at a specific point, known as point O, where the tangent to the deflection curve is horizontal. To find point O, the slope of the tangent at any...
547

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相关实验视频

Updated: Jul 20, 2025

A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue
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基于数字图像的桥梁结构损坏区域的自动识别方法.

Jinchao Wang1,2, Houcheng Liu3,4, Zengqiang Han3,5

  • 1Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, 430071, Hubei, China. jcwang@whrsm.ac.cn.

Scientific reports
|August 2, 2023
PubMed
概括

本研究引入了一种自动化方法,用于识别数字图像造成的桥梁结构损坏,即使数据有限. 该技术提高了损坏区域测量的准确性,支持桥梁维护.

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相关实验视频

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科学领域:

  • 结构工程 结构工程
  • 计算机视觉 计算机视觉
  • 图像处理 图像处理

背景情况:

  • 实时监测桥梁结构损坏对于安全和维护至关重要.
  • 传统的图像识别方法在桥梁损坏评估的有限现场数据方面扎.

研究的目的:

  • 开发一种自动化方法,从数字图像中识别和描述桥梁结构损坏区域.
  • 用图像分析来解决桥梁损坏检测数据稀缺的挑战.

主要方法:

  • 定义桥梁损坏区域的数字图像特征.
  • 提出一种图像预处理技术,以提高现场拍摄图像质量.
  • 实施了改进的Otsu方法,用于对损坏区域的轮雕刻.
  • 构建规则用于计算损坏面积的规模,比例和方向.

主要成果:

  • 拟议的方法有效地实现了轮雕刻和桥梁结构损坏的定量表征.
  • 实现了桥梁损坏区域的关键检查和特征参数诊断.
  • 该方法的可行性和稳定性通过一个实际的项目案例来证明.

结论:

  • 开发的方法显著提高了桥梁结构损坏面积测量的准确性.
  • 这种方法为持续检测和维护桥梁结构提供了有价值的数据支持.