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Localized corrosion induced damage monitoring of large-scale RC piles using acoustic emission technique in the marine environment

机译:在海洋环境中使用声发射技术造成大型RC桩的局部腐蚀造成损伤监测

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An experimental study was conducted to apply the acoustic emission (AE) technique to monitor the corrosion process and cracking behavior in large-scale reinforced concrete (RC) pile specimens. In this study, the underwater and tidal zones of six RC piles were exposed to accelerated, localized corrosion in a simulated marine environment to reach 5%, 10% and 20% steel mass loss. The two piles with 20% steel mass loss together with another reference pile without corrosion were continuously monitored during the test via three attached AE sensors. Tidal action had a significant impact on the AE signals; accordingly, a novel amplitude-duration-peak frequency-based AE signal filter (ADPF) was proposed, which achieved better performance than the previous amplitude-duration-based filters. Additionally, the conjoint analysis of AE signals and the fractal dimension of cover cracks throughout the corrosion period enabled global detection of localized corrosion-induced damage of piles, regardless of sensor location. This study also presents an integrated corrosion-induced damage detection framework and four models based on multi-layer perception (MLP) networks to predict the corrosion level of the underwater and tidal zones of piles in the marine environment. (C) 2020 Elsevier Ltd. All rights reserved.
机译:进行了实验研究以应用声发射(AE)技术监测大型钢筋混凝土(RC)桩样品中的腐蚀过程和开裂行为。在这项研究中,在模拟海洋环境中暴露了六个RC桩的水下和潮汐区域,以达到5%,10%和20%的钢质量损失。通过三个连接的AE传感器在测试期间连续监测具有20%钢质量损失的两个桩与另一个没有腐蚀的另一种参考堆,连续监测。潮汐作用对AE信号产生重大影响;因此,提出了一种新颖的振幅峰值频率基AE信号滤波器(ADPF),其实现比先前幅度持续时间的滤波器更好。另外,无论传感器位置如何,在整个腐蚀时段的整个腐蚀时段中的AE信号和覆盖裂缝的分形尺寸的联想分析和覆盖裂缝的分形尺寸使得桩的局部腐蚀引起的损坏。本研究还提出了一种基于多层感知(MLP)网络的综合腐蚀诱导的损伤检测框架和四种模型,以预测海洋环境中桩的水下和潮汐区的腐蚀水平。 (c)2020 elestvier有限公司保留所有权利。

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