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相关概念视频

Microcracking in Concrete01:20

Microcracking in Concrete

111
Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...
111
Types of Non-structural Cracks in Concrete01:28

Types of Non-structural Cracks in Concrete

133
Non-structural cracks are primarily of three types: plastic, early-age thermal, and drying shrinkage cracks. Plastic cracks are further classified into plastic shrinkage cracks and plastic settlement cracks.
Plastic shrinkage cracks typically form within hours after the concrete is poured. The concrete's surface dries faster than the bottom, creating tensile stress that the still-plastic concrete cannot withstand, leading to diagonal or randomly patterned cracks on the concrete surface.
133
Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

113
The rebound hammer test, also known as the Schmidt hammer test, is a non-destructive technique for evaluating the hardness of concrete and, indirectly, the strength of concrete. It operates on the principle that the rebound of a spring-driven mass from a concrete surface correlates to the surface's hardness. The device comprises a mass within a tubular housing, a spring mechanism, and a plunger that strikes the concrete. Upon release, the energy imparted to the mass by the spring causes it...
113
Structural Classification of Joints01:20

Structural Classification of Joints

3.2K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.2K
Abrasion Resistance of Concrete01:23

Abrasion Resistance of Concrete

114
Abrasion resistance is an essential characteristic of concrete that determines its durability and longevity under various wear conditions. Concrete surfaces are vulnerable to different types of abrasion. For instance, surfaces may wear down due to the constant movement of vehicles or be eroded by solids carried in water, as seen in concrete canal linings. Specific tests are conducted to measure the abrasion resistance of concrete.
One such test is the revolving disc test, where three plates...
114
Tensile Strength Considerations of Concrete01:16

Tensile Strength Considerations of Concrete

118
Considering the tensile strength of concrete involves recognizing that the theoretical strength of cement paste can be up to a thousand times higher than what is observed in practical applications. This significant discrepancy is largely attributed to the presence of microscopic cracks within the concrete. These cracks tend to amplify stress at their tips when a load is applied, a phenomenon explained by Griffith's theory of brittle fracture.
The dimensions and shape of a concrete specimen...
118

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相关实验视频

Updated: Jun 14, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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基于裂特征的支持矢量机的混凝土裂自动识别系统.

Rui Wang1, Rui-Qi Chen1, Xin-Xin Guo2

  • 1College of Engineering, Sichuan Normal University, Chengdu, 610068, China.

Scientific reports
|August 29, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用支矢量机 (SVM) 和图像处理的有效混凝土裂检测系统. 拟议的方法在识别裂方面达到97.14%的准确性,增强了结构健康监测.

关键词:
裂识别系统可以识别裂.图像细分 图像细分 图像细分最初的查初步查机器视觉 机器视觉 机器视觉支持矢量机器 (SVM) 是一个支持矢量机器.

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Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
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相关实验视频

Last Updated: Jun 14, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
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科学领域:

  • 土木工程 土木工程是指土木工程.
  • 计算机视觉 计算机视觉
  • 材料科学 材料科学 材料科学

背景情况:

  • 混凝土裂是基础设施中普遍存在的问题,需要可靠的自动化检查方法.
  • 机器视觉系统为混凝土裂检测和识别提供先进的解决方案.
  • 有效的裂识别对于结构健康评估和维护至关重要.

研究的目的:

  • 开发和验证用于混凝土裂检测和识别的自动化系统.
  • 提高在混凝土表面破裂识别的准确性和效率.
  • 建立一个强大的框架来区分裂和其他表面异常.

主要方法:

  • 使用Pewitt运算符和Otsu值算法的组合图像细分.
  • 数学形态学的应用,以改进裂区的识别.
  • 功能提取包括紧性,占用率和长宽比.
  • 支持矢量机 (SVM) 具有辐射基础功能,用于裂分类.

主要成果:

  • 拟议的细分算法有效地产生了完整的裂区域,干扰减少.
  • 预先区分成功删除了99%的杂质区域,确保了样品质量.
  • 对于混凝土裂,SVM模型实现了97.14%的高识别精度.

结论:

  • 开发的机器视觉系统在混凝土裂检测方面表现出高效率和实用性.
  • 集成先进的图像处理技术和SVM分类为结构监控提供了可靠的解决方案.
  • 提出的方法满足了对混凝土表面自动检查的实际要求.