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利用声发射和数字图像相关技术监测预应力混凝土桥梁大梁的剪切行为

Monitoring Shear Behavior of Prestressed Concrete Bridge Girders Using Acoustic Emission and Digital Image Correlation.

作者信息

Zhang Fengqiao, Zarate Garnica Gabriela I, Yang Yuguang, Lantsoght Eva, Sliedrecht Henk

机构信息

Department of Engineering Structures, Delft University of Technology, 2628 CN Delft, The Netherlands.

Politécnico, Universidad San Francisco de Quito, Quito EC 17015, Ecuador.

出版信息

Sensors (Basel). 2020 Oct 1;20(19):5622. doi: 10.3390/s20195622.

DOI:10.3390/s20195622
PMID:33019609
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7582688/
Abstract

In the Netherlands, many prestressed concrete bridge girders are found to have insufficient shear-tension capacity. We tested four girders taken from a demolished bridge and instrumented these with traditional displacement sensors and acoustic emission (AE) sensors, and used cameras for digital image correlation (DIC). The results show that AE can detect cracking before the traditional displacement sensors, and DIC can identify the cracks with detailed crack kinematics. Both AE and DIC methods provide additional information for the structural analysis, as compared to the conventional measurements: more accurate cracking load, the contribution of aggregate interlock, and the angle of the compression field. These results suggest that both AE and DIC are suitable options that warrant further research on their use in lab tests and field testing of prestressed bridges.

摘要

在荷兰,许多预应力混凝土桥梁大梁被发现抗剪拉能力不足。我们对取自一座拆除桥梁的四根大梁进行了测试,并使用传统位移传感器和声发射(AE)传感器对其进行监测,同时使用相机进行数字图像相关(DIC)测量。结果表明,声发射能够比传统位移传感器更早地检测到裂缝,数字图像相关能够识别具有详细裂缝运动学特征的裂缝。与传统测量相比,声发射和数字图像相关方法都为结构分析提供了额外信息:更准确的开裂荷载、骨料咬合的贡献以及受压场的角度。这些结果表明,声发射和数字图像相关都是合适的选择,值得进一步研究它们在预应力桥梁实验室测试和现场测试中的应用。

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