A reinforced corrosion assessment method based on the new magnetic sensor and improved adaptive filtering

IF 0.8 4区工程技术 Q4 INSTRUMENTS & INSTRUMENTATION

Tm-Technisches Messen Pub Date : 2023-08-02 DOI:10.1515/teme-2023-0050

Xumei Lin, Guanghui Zhu, Shijie Yu, Peng Wang, Penggang Wang

{"title":"A reinforced corrosion assessment method based on the new magnetic sensor and improved adaptive filtering","authors":"Xumei Lin, Guanghui Zhu, Shijie Yu, Peng Wang, Penggang Wang","doi":"10.1515/teme-2023-0050","DOIUrl":null,"url":null,"abstract":"Abstract Corrosion assessment of reinforced concrete structures is the basis for subsequent corrosion repair and early warning of structural hazards. Aiming at the problem of accurately measuring the corrosion degree of reinforced concrete structures in coastal area, a New Magnetic Sensor (NMS) based on the theory of magnetic medium is designed in this paper. A functional model of the relationship between magnetic induction intensity change and reinforcement mass loss based on multi-point detection is constructed, and an improved adaptive filtering Least Mean Square (LMS) algorithm is proposed to realize damage identification and quantitative calculation of reinforcement corrosion comprehensively. Through numerical simulation experiments, the feasibility of designing the sensor is verified. The measured corrosion test of the sensor prototype shows that the calculated corrosion rates of different steel corrosion degrees are in good agreement with the actual values, with an average relative error of 1.64 %. The sensor provides a new method for corrosion monitoring of reinforced concrete structures.","PeriodicalId":56086,"journal":{"name":"Tm-Technisches Messen","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tm-Technisches Messen","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1515/teme-2023-0050","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}

引用次数: 0

Abstract

Abstract Corrosion assessment of reinforced concrete structures is the basis for subsequent corrosion repair and early warning of structural hazards. Aiming at the problem of accurately measuring the corrosion degree of reinforced concrete structures in coastal area, a New Magnetic Sensor (NMS) based on the theory of magnetic medium is designed in this paper. A functional model of the relationship between magnetic induction intensity change and reinforcement mass loss based on multi-point detection is constructed, and an improved adaptive filtering Least Mean Square (LMS) algorithm is proposed to realize damage identification and quantitative calculation of reinforcement corrosion comprehensively. Through numerical simulation experiments, the feasibility of designing the sensor is verified. The measured corrosion test of the sensor prototype shows that the calculated corrosion rates of different steel corrosion degrees are in good agreement with the actual values, with an average relative error of 1.64 %. The sensor provides a new method for corrosion monitoring of reinforced concrete structures.

查看原文本刊更多论文

一种基于新型磁传感器和改进自适应滤波的增强腐蚀评估方法

摘要钢筋混凝土结构腐蚀评价是后续腐蚀修复和结构危害预警的基础。针对沿海地区钢筋混凝土结构腐蚀程度的精确测量问题，设计了一种基于磁性介质理论的新型磁性传感器。建立了基于多点检测的磁感应强度变化与钢筋质量损失关系的函数模型，提出了改进的自适应滤波最小均方(LMS)算法，全面实现了钢筋腐蚀的损伤识别和定量计算。通过数值模拟实验，验证了该传感器设计的可行性。传感器样机的实测腐蚀试验表明，不同钢腐蚀程度下计算的腐蚀速率与实际值吻合较好，平均相对误差为1.64 %。该传感器为钢筋混凝土结构的腐蚀监测提供了一种新的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Tm-Technisches Messen 工程技术-仪器仪表

CiteScore

1.70

自引率

20.00%

发文量

105

审稿时长

6-12 weeks

期刊介绍： The journal promotes dialogue between the developers of application-oriented sensors, measurement systems, and measurement methods and the manufacturers and measurement technologists who use them. Topics The manufacture and characteristics of new sensors for measurement technology in the industrial sector New measurement methods Hardware and software based processing and analysis of measurement signals to obtain measurement values The outcomes of employing new measurement systems and methods.