大面积腐蚀坑作用下高强度钢丝纵导波衰减

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Sipeng Wan;Haijun Zhou;Yiqing Zou
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引用次数: 0

摘要

当导波遇到缺陷时,它们会产生回波,从而确定缺陷的位置和严重程度。然而,大面积腐蚀坑的探测和表征面临挑战,因为它们通常不能产生明显的回波。为了解决这一问题,导波衰减已经被提出作为一种潜在的解决方案,这促使人们需要研究大面积腐蚀坑背景下导波的衰减行为。采用中性盐雾加速腐蚀法制备高强度钢丝腐蚀试样。使用三维光学扫描仪捕获表面腐蚀形态,并测量不同腐蚀程度的导波衰减。提出了一种自动识别腐蚀坑的算法,并对腐蚀坑参数进行统计分析。结果表明,腐蚀钢丝表面有4种具有代表性的形态,坑参数和导波衰减随质量损失率的变化而变化。凹坑参数对散射衰减的贡献依次为凹坑体积、凹坑面积、凹坑锐度和凹坑深度。导波散射衰减对坑参数的较大值更为敏感,只有坑锐度和坑深表现出临界阈值效应。此外,建立了基于检测结果的统计模型来预测腐蚀形态的概率特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Longitudinal Guided Waves Attenuation in High-Strength Steel Wires Subject to Large-Area Corrosion Pits
When guided waves encounter defects, they generate echoes, enabling the determination of defect location and severity. However, detecting and characterizing large-area corrosion pits poses challenges as they often fails to produce distinct echoes. To address this issue, guided waves attenuation has been proposed as a potential solution, prompting the need to investigate the attenuation behavior of guided waves in the context of large-area corrosion pits. Corroded high-strength steel wire samples were obtained by accelerating corrosion using a neutral salt spray. Surface corrosion morphology was captured using a 3-D optical scanner, and the guided waves attenuation was measured across varying degrees of corrosion. An algorithm was developed to automate the identification of corrosion pits, followed by statistical analysis of pit parameters. The findings revealed four representative morphologies on corroded steel wires, with pit parameters and guided waves attenuation evolving in accordance with the mass loss ratio. The contributions of pit parameters to scattering attenuation are ranked in the order of pit volume, pit area, pit sharpness, and pit depth. Guided wave scattering attenuation is more sensitive to larger values of pit parameters, with only pit sharpness and pit depth exhibiting a critical threshold effect. Furthermore, statistical models were formulated to predict the probabilistic characteristics of corrosion morphology based on detection outcomes.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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