用磁力方法和ACO (振幅-相关性-偏移) 分解评估钢筋混凝土结构
Paweł Karol Frankowski1, Tomasz Chady1
1Faculty of Electrical Engineering, West Pomeranian University of Technology in Szczecin, ul. Sikorskigo 37, 70-313 Szczecin, Poland.
Materials (Basel, Switzerland)
|August 26, 2023
概括
本研究介绍了ACO分解,这是一种用于钢筋混凝土结构的非破坏性测试 (NDT) 的新方法. 它可以准确地识别铁杆直径,合金类别和混凝土覆盖厚度,而不需要大型数据库.
科学领域:
- 材料科学 材料科学 材料科学
- 土木工程 土木工程是指土木工程.
- 非破坏性测试是一种非破坏性测试.
背景情况:
- 钢筋混凝土 (RC) 结构需要可靠的非破坏性测试 (NDT) 方法.
- 磁性方法为RC结构的NDT提供了一种快速,具有成本效益的方法.
- 由于电磁特征的变化,在确定钢筋属性方面存在挑战.
研究的目的:
- 提出一种新的方法,用于同时识别使用磁性无线探测技术的铁杆直径,合金类别和混凝土覆盖厚度.
- 解决现有方法的局限性,以创建用于钢筋表征的通用数据库.
- 在NDT中引入ACO分解方法用于属性提取.
主要方法:
- 磁性NDT技术的应用用于RC结构的面积测试.
- 开发和实施ACO (属性,组件和对象) 分解用于属性提取.
- 使用磁传感器分析磁感应的空间组件.
- 在没有广泛的数据库的情况下,用于参数识别的模式识别和偏差分析.
主要成果:
- 在ACO分解方法准确地反映波形形状.
- 属性的数量仅限于三个或更少,减轻了维度的诅咒.
- 可以同时识别铁杆直径,合金类别和混凝土盖厚度.
- 观察到不同钢筋类别的结果之间有更好的分离.
结论:
- ACO分解为复杂的NDT参数识别提供了强大的解决方案.
- 即使没有全面的培训数据库,这种方法也很有效.
- 这种方法简化了RC结构中多个钢筋和混凝土覆盖参数的识别.
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