实验数据集用于评估使用固定和移动摄像头的数字图像关联技术来评估破裂钢筋混凝土的结构性能
Andreas Sjölander1, Valeria Belloni2, Viktor Peterson1
1Division of Concrete Structures, Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Stockholm, Sweden.
Data in brief
|November 15, 2023
概括
这项研究提出了一个新的数据集,用于分析混凝土裂传播. 它验证了用于结构监测和钢筋混凝土数值建模的新型摄影计量技术.
科学领域:
- 结构工程 结构工程
- 图像处理 图像处理
- 材料科学 材料科学 材料科学
背景情况:
- 基础设施老化需要强大的方法来评估结构完整性.
- 裂是混凝土结构生命周期中常见的特征,使结构影响评估复杂化.
- 现有的裂纹监测方法,如数字图像相关性 (DIC),通常需要固定摄像头,限制其实际应用.
研究的目的:
- 引入一个全面的数据集,用于验证钢筋混凝土中裂纹传播测量.
- 为了比较数字图像相关性 (DIC) 的有效性与新的光度计算法,Crack Monitoring from Motion (CMfM),用于裂分析.
- 为研究将现有裂集成到结构分析的数值模型中提供数据.
主要方法:
- 在实验室环境中,对未破裂和预破裂的钢筋混凝土梁进行了三点曲测试.
- 使用移位控制的设置记录结构反应,捕获力和移位数据.
- 使用多个固定摄像头和一个非固定摄像头监控裂纹传播,以加强数据采集,并进行材料性质测试.
主要成果:
- 该数据集可以通过非固定摄像头验证新型CMfM算法的准确性.
- 它有助于对DIC和CMfM进行裂纹监测的比较.
- 这些数据支持研究模拟有限元素 (FE) 分析中的现有裂的研究.
结论:
- 这一数据集对于在结构健康监测中推进图像处理技术具有价值.
- 它有助于验证和改进现有裂的钢筋混凝土结构的数值模型.
- 该资源支持开发更灵活,更准确的方法来评估混凝土退化的结构影响.
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