Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Microcracking in Concrete01:20

Microcracking in Concrete

98
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...
98
Types of Non-structural Cracks in Concrete01:28

Types of Non-structural Cracks in Concrete

121
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.
121
Design Example: Joints in Concrete Pavements01:28

Design Example: Joints in Concrete Pavements

167
Concrete pavement joints are essential for maintaining the structural integrity and longevity of pavement by controlling where and how the pavement cracks. These joints can be categorized based on their functions, such as contraction or control joints, construction joints, isolation joints, and expansion joints.
Contraction joints are typically formed by sawing a groove into the concrete shortly after it has hardened. This creates a weakened vertical plane, deliberately encouraging cracking at...
167
Segregation in Fresh Concrete01:16

Segregation in Fresh Concrete

88
Segregation in fresh concrete is a phenomenon where the components of the concrete mix separate, leading to uneven distribution and compromised structural integrity. This separation typically occurs when concrete is subjected to excessive horizontal movement within forms, or when it is dropped from considerable heights or forced through narrow, winding paths. As a result, heavier coarse aggregate particles settle at the bottom, while lighter, finer materials such as cement and water rise to the...
88
Creep in Concrete01:22

Creep in Concrete

137
Creep refers to the time-dependent increase in strain under a sustained load, excluding other time-dependent deformations associated with shrinkage, swelling, and thermal expansion in concrete. The primary mechanism behind creep involves the loss of physically adsorbed water from the calcium silicate hydrate within the hydrated cement paste. This process is further exacerbated by concrete's non-linear stress-strain relationship, microcrack development in the interfacial transition zone, and...
137
Shrinkage in Concrete01:27

Shrinkage in Concrete

74
Shrinkage in concrete is primarily due to water loss from evaporation, hydration of cement, or carbonation, leading to a reduction in volume. The volumetric contraction results in volumetric strain in concrete. However, in practice, shrinkage is measured as linear strain, which is one-third of the volumetric strain.
When concrete is still in its plastic state, it can undergo a decrease in volume by about 1% of its absolute volume. This decrease is known as plastic shrinkage. It arises either...
74

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Dextromethorphan-bupropion-associated pharmacovigilance signals based on the FAERS database: An observational study.

Medicine·2026
Same author

Development of the authentication and authorization processes for the iAgree portal, a platform for patient-controlled data sharing across health systems.

JAMIA open·2026
Same author

Risk factors for severe <i>Chlamydia pneumoniae</i> pneumonia in children: a retrospective case-control study.

Frontiers in pediatrics·2026
Same author

Relative contributions of climate factors and air pollution to childhood allergic diseases in Chongqing, China.

BMC public health·2026
Same author

DNA methylation-mediated suppression of endocytosis confers resistance to duck hepatitis A virus type 3.

Microbiology spectrum·2026
Same author

Corrigendum to "Pharmacological effects of indole alkaloids from Alstonia scholaris (L.) R. Br. on pulmonary fibrosis in vivo" [J. Ethnopharmacol. 267 (2021) 113506].

Journal of ethnopharmacology·2026

相关实验视频

Updated: May 26, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

2.3K

基于改进的U-Net模型的像素级混凝土路面裂细分算法.

Zixuan Zhang1,2, Yike He1, Di Hu1

  • 1College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Ürümqi, 830052, China.

Scientific reports
|February 24, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一种改进的U-Net模型 (U-Net-FML),用于准确地检测混凝土裂. 改进后的模型显著改善了道路安全评估和维护规划,通过在识别路面裂方面实现了高准确性和速度.

关键词:
在混凝土上出现裂.卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.语义细分 语义细分是指语义细分.这就是U-Net.

更多相关视频

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

946
Advanced Self-Healing Asphalt Reinforced by Graphene Structures: An Atomistic Insight
08:03

Advanced Self-Healing Asphalt Reinforced by Graphene Structures: An Atomistic Insight

Published on: May 31, 2022

4.4K

相关实验视频

Last Updated: May 26, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

2.3K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

946
Advanced Self-Healing Asphalt Reinforced by Graphene Structures: An Atomistic Insight
08:03

Advanced Self-Healing Asphalt Reinforced by Graphene Structures: An Atomistic Insight

Published on: May 31, 2022

4.4K

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
  • 人工智能的人工智能

背景情况:

  • 混凝土表面的裂对道路安全和基础设施完整性构成风险.
  • 准确的裂识别对于有效的道路状况评估和维护规划至关重要.
  • 现有的裂检测方法往往缺乏复杂环境所需的准确性和速度.

研究的目的:

  • 开发一个改进的U形卷积网络 (U-Net) 模型,用于增强混凝土裂检测.
  • 为了提高路面裂识别算法的准确性,速度和稳定性.
  • 通过对各种数据集进行培训,扩大裂纹检测模型的预测能力.

主要方法:

  • 修改了原来的U-Net模型,包括两个关键的创新.
  • 减少模型参数以提高效率.
  • 在公共图像和960个自定义道路裂纹图像的综合数据集上训练增强的U-Net-FML模型.
  • 利用各种暴露和噪声条件的数据集来增强模型的概括性.

主要成果:

  • 拟议的U-Net-FML模型在复杂环境中展示了高精度和检测速度.
  • 在欧盟 (MIoU) 实现的平均交叉率为76.4%,F1得分为74.2%,精度为84.2%,回忆率为66.4%.
  • 在破裂检测任务的整体性能方面表现优于其他七种比较模型.

结论:

  • 该U-Net-FML模型为精确和高效地分析混凝土路面裂提供了重要的工程价值.
  • 改进后的模型为道路状况评估和维护策略制定提供了强大的解决方案.
  • 该研究强调了深度学习在改善基础设施监控和安全方面的潜力.