A novel Bayesian optimal detector-based approach for determining the first arrival time of wire breakage-induced near-wall acoustic wave in PCCPs

IF 3.6 2区 工程技术 Q1 ENGINEERING, CIVIL
Xudu Liu, Yang Han, Minghao Li, Xin Feng
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引用次数: 0

Abstract

Wire breakage in prestressed cylinder concrete pipes (PCCPs) due to various factors, such as corrosion, hydrogen embrittlement, material defects and overload, may lead to structural failure. Real-time detection of acoustic waves generated by wire breakage is possible using fiber optic sensors. Accurate determination of the first arrival time (FAT) of acoustic wave is vital for localizing wire breakages. A novel method based on the Bayesian optimal detector is proposed to automatically identify the FAT of near-wall acoustic wave. The FATs are subsequently fed into a localization model of wire breakage. The localization results are compared for the FAT of the proposed method and human subjective picking via model tests. The results show that compared with human subjective picking, the wire breakage localization of the proposed method can ensure the accuracy of the results. The maximum errors of the longitudinal and circumferential positions of the proposed method are 0.15 m and 0.02 m, respectively. The experimental results demonstrate that the FATs determined by the Bayesian optimal detector enable the accurate localization of wire breakage with noisy measurements. The proposed method overcomes the limitation of traditional picking methods in determining the FAT, which provides a promising tool for real-time monitoring of wire breakage in PCCPs.

Abstract Image

基于贝叶斯最优检测器的新方法,用于确定 PCCP 中断线诱发的近壁声波的首次到达时间
由于腐蚀、氢脆、材料缺陷和过载等各种因素,预应力圆筒混凝土管(PCCP)中的钢丝断裂可能会导致结构失效。使用光纤传感器可以实时检测断丝产生的声波。准确测定声波的首次到达时间(FAT)对断线定位至关重要。本文提出了一种基于贝叶斯最优检测器的新方法,用于自动识别近壁声波的 FAT。随后将 FAT 输入断线定位模型。通过模型试验,比较了拟议方法和人类主观拾取的 FAT 定位结果。结果表明,与人的主观拾取相比,拟议方法的断线定位能确保结果的准确性。建议方法的纵向和圆周位置的最大误差分别为 0.15 m 和 0.02 m。实验结果表明,贝叶斯最优检测器确定的 FAT 能够在有噪声测量的情况下准确定位断线。所提出的方法克服了传统拾取方法在确定 FAT 方面的局限性,为实时监测 PCCP 中的断线情况提供了一种很有前途的工具。
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来源期刊
Journal of Civil Structural Health Monitoring
Journal of Civil Structural Health Monitoring Engineering-Safety, Risk, Reliability and Quality
CiteScore
8.10
自引率
11.40%
发文量
105
期刊介绍: The Journal of Civil Structural Health Monitoring (JCSHM) publishes articles to advance the understanding and the application of health monitoring methods for the condition assessment and management of civil infrastructure systems. JCSHM serves as a focal point for sharing knowledge and experience in technologies impacting the discipline of Civionics and Civil Structural Health Monitoring, especially in terms of load capacity ratings and service life estimation.
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