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基于声发射的结构健康监测:在一座预应力混凝土桥的失效试验中的验证。

Structural Health Monitoring Based on Acoustic Emissions: Validation on a Prestressed Concrete Bridge Tested to Failure.

机构信息

Department of Civil, Environmental and Mechanical Engineering, University of Trento, 38123 Trento, Italy.

Department of Civil and Environmental Engineering, University of Strathclyde, Glasgow G1 1XJ, UK.

出版信息

Sensors (Basel). 2020 Dec 18;20(24):7272. doi: 10.3390/s20247272.

Abstract

The increasing number of bridges approaching their design life has prompted researchers and operators to develop innovative structural health monitoring (SHM) techniques. An acoustic emissions (AE) method is a passive SHM approach based on the detection of elastic waves in structural components generated by damages, such as the initiation and propagation of cracks in concrete and the failure of steel wires. In this paper, we discuss the effectiveness of AE techniques by analyzing records acquired during a load test on a full-size prestressed concrete bridge span. The bridge is a 1968 structure currently decommissioned but perfectly representative, by type, age, and deterioration state of similar bridges in operation on the Italian highway network. It underwent a sequence of loading and unloading cycles with a progressively increasing load up to failure. We analyzed the AE signals recorded during the load test and examined how far their features (number of hits, amplitude, signal strength, and peak frequency) allow us to detect, quantify, and classify damages. We conclude that AE can be successfully used in permanent monitoring to provide information on the cracking state and the maximum load withstood. They can also be used as a non-destructive technique to recognize whether a structural member is cracked. Finally, we noticed that AE allow classifying different types of damage, although further experiments are needed to establish and validate a robust classification procedure.

摘要

随着越来越多的桥梁接近其设计寿命,研究人员和运营商开始开发创新的结构健康监测 (SHM) 技术。声发射 (AE) 方法是一种基于检测结构构件中弹性波的被动 SHM 方法,这些弹性波是由损伤产生的,例如混凝土中裂缝的起始和扩展以及钢丝的失效。在本文中,我们通过分析在全尺寸预应力混凝土桥跨的负荷试验中获得的记录来讨论 AE 技术的有效性。该桥是一座 1968 年建造的结构,目前已退役,但在意大利公路网络上运行的类似桥梁的类型、年龄和恶化状态方面具有代表性。它经历了一系列加载和卸载循环,负载逐渐增加直至失效。我们分析了在负荷试验中记录的 AE 信号,并研究了它们的特征(撞击次数、振幅、信号强度和峰值频率)在多大程度上允许我们检测、量化和分类损伤。我们得出的结论是,AE 可成功用于永久监测,以提供有关开裂状态和承受的最大负载的信息。它们也可用作一种无损技术来识别结构构件是否出现裂缝。最后,我们注意到 AE 允许对不同类型的损伤进行分类,尽管需要进一步的实验来建立和验证稳健的分类程序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4771/7766546/f752889e57d1/sensors-20-07272-g001.jpg

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