相关实验视频
Updated: Jul 1, 2025

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Measurement of Aggregate Cohesion by Tissue Surface Tensiometry
Published on: April 8, 2011
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粘贴,聚合物,还是空气? 这就是问题所在.
Ekaterina Ossetchkina1, Oleksiy Chernoloz1, Lucas Herzog Bromerchenkel2
1Department of Civil & Mineral Engineering, University of Toronto, Toronto, Ontario, Canada.
Journal of microscopy
|March 7, 2024
概括
戈迪霍威国际桥使用先进的自动化方法来评估混凝土中的空气入,确保耐用性. 本研究展示了一种新的神经网络方法,用于在大型基础设施项目中自动确定粘贴内容.
科学领域:
- 土木工程 土木工程是指土木工程.
- 材料科学 材料科学 材料科学
- 建筑技术 建筑技术 建筑技术
背景情况:
- 戈迪霍威国际大桥是一个重要的北美基础设施项目,需要耐用混凝土来适应其恶劣的环境.
- 评估混凝土质量的传统方法,如空气引入,可能是耗时和劳动密集的.
研究的目的:
- 详细说明ASTM C 457程序C的应用,对比度增强方法用于在戈迪霍威国际桥项目中评估空气空隙.
- 通过使用手动点数计数和神经网络训练记录的数据,展示一种用于自动化粘贴含量确定的新方法.
主要方法:
- 采用ASTM C 457程序C,对比度增强方法,用于在硬化混凝土中对空气空隙的自动显微镜分析.
- 采用数字图像处理来确定空气空隙特征.
- 在手动点数时记录数字图像坐标和相位识别,以训练神经网络进行自动化粘贴内容分析.
主要成果:
- 成功地在北美基础设施中大规模应用了自动空气空隙评估.
- 证明了训练神经网络用于自动化糊含量确定,补充传统方法的可行性.
- 确保了空气进入混凝土的质量,这对于桥梁在融环境中的耐用性至关重要.
结论:
- 根据ASTM C 457程序C的空气空隙评估的自动化显微镜方法对大型基础设施有效.
- 开发的神经网络为自动化粘贴含量确定提供了一个有前途的方法,提高了混凝土建筑的质量控制.
- 这种综合方法确保了像戈迪霍威国际大桥这样的关键基础设施的长期耐用性.
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