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相关概念视频

Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

93
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...
93
Abrasion Resistance of Concrete01:23

Abrasion Resistance of Concrete

80
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...
80
Microcracking in Concrete01:20

Microcracking in Concrete

83
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...
83
Sulfate Attack on Concrete01:29

Sulfate Attack on Concrete

93
Sulfate attack on concrete is a deterioration process characterized by a whitish discoloration beginning at the edges and corners, accompanied by cracking and spalling. This phenomenon occurs when sulfates react with the components of hardened concrete, forming compounds like calcium sulfate and calcium sulfoaluminate which occupy more space than the substances they replace, causing the concrete to expand and disrupt.
Sulfates from sources like soil, groundwater, or industrial effluents...
93
Acid Attack on Concrete01:21

Acid Attack on Concrete

160
When acids come into contact with concrete, they initiate a chemical reaction that dissolves the hydrated cement paste. This process leads to softening and structural weakening of the concrete. This issue is commonly observed in environments such as chimneys, sewers, and industrial settings. The severity of the damage increases as the pH of the water interacting with the concrete drops below 6.5. In particular, a pH under 4.5 can cause significant concrete damage.
The rate at which hydrogen...
160
Bleeding in Fresh Concrete01:22

Bleeding in Fresh Concrete

65
Bleeding in fresh concrete occurs when water from the mix rises to the surface. This happens because the mix's solid components fail to retain all the water as they settle, leading to separation where water collects at the top. The severity of bleeding can be measured by assessing the total settlement or by noting the decrease in height per unit height of concrete.
Bleeding can cause several issues in the concrete structure. Sometimes, the rising water gets trapped beneath large aggregate...
65

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相关实验视频

Updated: May 7, 2025

Experimental Protocol to Determine the Chloride Threshold Value for Corrosion in Samples Taken from Reinforced Concrete Structures
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Published on: August 31, 2017

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一种有效的方法来识别水力混凝土建筑物表面损伤的有效方法.

Libo Yang1,2, Dawei Zhu2, Xuemei Liu3,4

  • 1Advanced Research Institute for Digital-Twin Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.

Scientific reports
|December 29, 2024
PubMed
概括

本研究引入了一种高效的深度学习方法,用于检测液压结构中的各种损坏,改进传统的视觉检查,克服数据限制,以便更好地做出维护决策.

关键词:
自动检查技术自动检查技术区分性特征选择的选择液压结构健康 液压结构健康机器学习是机器学习.转移学习转移学习

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Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
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Experimental Protocol to Determine the Chloride Threshold Value for Corrosion in Samples Taken from Reinforced Concrete Structures
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Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
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科学领域:

  • 土木工程 土木工程是指土木工程.
  • 人工智能的人工智能
  • 结构健康监测 结构健康监测

背景情况:

  • 传统的液压结构检查是手动的,低效的,劳动密集的.
  • 深度学习模型经常面临由于数据大小和多样性有限的可扩展性问题.
  • 现有的方法缺乏对维护的全面决策支持.

研究的目的:

  • 提出一种有效的方法来识别液压结构中的各种明显损坏.
  • 解决当前深度学习模型中数据依赖性和单一功能的局限性.
  • 为了提高液压结构损坏识别的准确性和效率.

主要方法:

  • 微调轻型预训练模型以阐明先进的损坏特征,减轻数据依赖.
  • 采用集体学习算法来进行高维样本分类,以提高准确性和稳定性.
  • 开发一种歧视性特征选择模型,以减少推断时间和提高性能.

主要成果:

  • 该方法取得了很高的准确性:裂的87.65%,骨折的87.82%,洞的96.99%,正常结构的95.25%.
  • 拟议的特征选择模型显著减少了推断时间,同时改善了损害识别.
  • 该方法证明了深度学习模型固有的数据依赖性问题的缓解.

结论:

  • 开发的方法提供了一个强大而高效的解决方案,用于对液压结构进行智能检查.
  • 这种方法显著提高了识别各种结构损坏的准确性和速度.
  • 这些发现突出了改善水力工程维护策略的实际适用性和价值.