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作 者:王鹏 高敏[3] 董雷 朱俊良 WANG Peng;GAO Min;DONG Lei;ZHU Junliang(National Key Laboratory for Bridge Engineering Safety and Resilience,Chongqing 400067;China Merchants Chongqing Communications Technology Research&Design Institute Co.,Ltd.,Chongqing 400067;The Development and Reform Bureau of Peng′an County,Sichuan Peng′an 637800)
机构地区:[1]桥梁工程安全与韧性全国重点实验室,重庆400067 [2]招商局重庆交通科研设计院有限公司,重庆400067 [3]四川省蓬安县发展和改革局,四川蓬安637800
出 处:《公路交通技术》2025年第1期91-98,共8页Technology of Highway and Transport
基 金:重庆市自然科学基金面上项目(CSTB2022NSCQ-MSX0579)。
摘 要:预应力筋腐蚀危及桥梁安全,但至今尚无有效手段解决混凝土梁预应力筋腐蚀损伤检测问题。为此,基于漏磁检测原理研发了预应力筋腐蚀损伤漏磁检测试验装置,并利用该装置对电化学腐蚀后的预应力筋开展漏磁检测试验。试验中研究了腐蚀程度、腐蚀宽度以及箍筋对漏磁信号特征的影响规律,提取了磁信号特征值,并建立了腐蚀损伤量化神经网络模型,用于量化评估预应力筋的腐蚀损伤程度。研究结果显示:1)该模型预测腐蚀率和腐蚀宽度的精度较高;2)该模型能在试验分析中有效减小外界因素对预应力筋腐蚀率和腐蚀宽度取值的影响,提高预应力筋腐蚀损伤量化识别精度。Corrosion of prestressed tendons threatens the safety of bridges,yet there is still no effective method to address the issue of detecting corrosion damage in prestressed tendons in concrete beams.In this paper,a magnetic flux leakage detection experimental apparatus for corrosion damage in prestressed tendons based on the principle of magnetic flux leakage inspection has been developed.Using this apparatus,magnetic flux leakage tests were conducted on prestressed tendons after electrochemical corrosion.In the experiments,the influence of corrosion severity,corrosion width,and the effect of hoop reinforcement on the characteristics of the magnetic flux leakage signals were studied.Magnetic signal feature values were extracted,and a quantification neural network model for corrosion damage was established,which is used to quantify the degree of corrosion damage in prestressed tendons.The results indicate that:1)The model predicts the corrosion rate and corrosion width with high accuracy;2)This method effectively reduces the influence of external factors on the determination of corrosion rates and widths in prestressed tendons during experimental analysis,thereby improving the precision of quantifying corrosion damage identification in prestressed tendons.
分 类 号:U446[建筑科学—桥梁与隧道工程]
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