当前位置: X-MOL 学术J. Adv. Concr. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Laboratory Investigation of Early Damage Detection for an Old-Aged Reinforced Concrete Beam using Acoustic Emission and Digital Image Correlation
Journal of Advanced Concrete Technology ( IF 1.6 ) Pub Date : 2021-06-26 , DOI: 10.3151/jact.19.700
Shitong Hou 1 , Jianhua Fan 1 , Gang Wu 1 , Haochen Wang 1 , Yitian Han 1
Affiliation  

This paper presents an experimental study investigating the actual mechanical performance of a full-scale reinforced concrete beam that served for 60 years in an industrial environment. The primary objective is to verify early damage detection performance using acoustic emission (AE) and digital image correlation (DIC) methods based on the four-point bending test. Parameter analysis of AE provides an accurate indication of the crack opening process, especially for the early damage stage, while RA (rise time divided by amplitude) against AF (Acoustic counts divided by durable time) and b-value analyses based on AE parameters also provide specific damage propagation results for different load stages. Furthermore, owing to the good full-field measurement resolution of DIC, the strain results in each load stage more clearly present the crack pattern and distribution before the visible crack is found, and the results of the displacement derived from DIC images also capture the global and local deformation of the beam with satisfactory accuracy compared with conventional methods. A brief summary of the advantages and disadvantages of using AE and DIC for early damage detection of the full-scale beam is also provided. It is concluded that AE and DIC both exhibit good feasibility for early damage detection from the respective interior and exterior aspects. Robust signal and image processing algorithms can be integrated with these two methods for further quantitative analysis.



中文翻译:

使用声发射和数字图像相关性对老旧钢筋混凝土梁进行早期损伤检测的实验室研究

本文介绍了一项实验研究,调查了在工业环境中使用了 60 年的全尺寸钢筋混凝土梁的实际机械性能。主要目标是使用基于四点弯曲测试的声发射 (AE) 和数字图像相关 (DIC) 方法验证早期损伤检测性能。AE 的参数分析提供了裂纹张开过程的准确指示,尤其是在早期损坏阶段,而 RA(上升时间除以振幅)与 AF(声学计数除以持久时间)和基于 AE 参数的 b 值分析也为不同的载荷阶段提供特定的损伤传播结果。此外,由于 DIC 良好的全场测量分辨率,在发现可见裂纹之前,每个载荷阶段的应变结果更清楚地呈现了裂纹模式和分布,并且与传统方法相比,从 DIC 图像导出的位移结果也以令人满意的精度捕获了梁的全局和局部变形。还简要总结了使用 AE 和 DIC 进行全尺寸光束早期损伤检测的优缺点。得出的结论是,AE 和 DIC 从各自的内部和外部方面都表现出良好的早期损坏检测可行性。稳健的信号和图像处理算法可以与这两种方法集成,以进行进一步的定量分析。与传统方法相比,从 DIC 图像导出的位移结果也以令人满意的精度捕获了梁的全局和局部变形。还简要总结了使用 AE 和 DIC 进行全尺寸光束早期损伤检测的优缺点。得出的结论是,AE 和 DIC 从各自的内部和外部方面都表现出良好的早期损坏检测可行性。稳健的信号和图像处理算法可以与这两种方法集成,以进行进一步的定量分析。与传统方法相比,从 DIC 图像导出的位移结果也以令人满意的精度捕获了梁的全局和局部变形。还简要总结了使用 AE 和 DIC 进行全尺寸光束早期损伤检测的优缺点。得出的结论是,AE 和 DIC 从各自的内部和外部方面都表现出良好的早期损坏检测可行性。稳健的信号和图像处理算法可以与这两种方法集成,以进行进一步的定量分析。得出的结论是,AE 和 DIC 从各自的内部和外部方面都表现出良好的早期损坏检测可行性。稳健的信号和图像处理算法可以与这两种方法集成,以进行进一步的定量分析。得出的结论是,AE 和 DIC 从各自的内部和外部方面都表现出良好的早期损坏检测可行性。稳健的信号和图像处理算法可以与这两种方法集成,以进行进一步的定量分析。

更新日期:2021-06-28
down
wechat
bug