Hong Zhang, Xiaotao Ma, Hejing Jiang, Kai Tong, Yu Zheng, Jianting Zhou
{"title":"腐蚀RC梁整体腐蚀程度的SMFL分级评价","authors":"Hong Zhang, Xiaotao Ma, Hejing Jiang, Kai Tong, Yu Zheng, Jianting Zhou","doi":"10.1155/2023/6672823","DOIUrl":null,"url":null,"abstract":"<div>\n <p>To accurately evaluate the overall corrosion degree of reinforced concrete (RC) beams, on the basis of the SMFL technology, the overall random corrosion detection experiment of six RC beams was carried out. The relationship between the tangential component <i>B</i><sub><i>y</i></sub> and the normal component <i>B</i><sub><i>z</i></sub> of the magnetic induction intensity and corrosion degree was analyzed, and a multidefect magnetic dipole model was established. The correlation between the average corrosion ratio <i>C</i> of the RC beam and the magnetic characteristic index <i>K</i><sub><i>G</i></sub> was emphatically explored. The results showed that, with the increase in the average corrosion ratio <i>C</i>, the magnetic characteristic index <i>K</i><sub><i>G</i></sub> showed an increasing trend as a whole. The index <i>K</i><sub><i>G</i></sub> could weaken the influence of different historical magnetizations, but it had a certain dispersion. On the basis of the correlation and the Naive Bayesian model, the average corrosion ratio <i>C</i> was divided into four grades. The probability of <i>C</i> falling in different value ranges can be quantitatively evaluated using the <i>K</i><sub><i>G</i></sub> magnetic characteristic index. The reliability is as high as 97.4% and as low as 56.8% so as to realize the quantitative grading evaluation of the corrosion of the rebar in the RC beam.</p>\n </div>","PeriodicalId":49471,"journal":{"name":"Structural Control & Health Monitoring","volume":"2023 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2023/6672823","citationCount":"0","resultStr":"{\"title\":\"Grading Evaluation of Overall Corrosion Degree of Corroded RC Beams via SMFL Technique\",\"authors\":\"Hong Zhang, Xiaotao Ma, Hejing Jiang, Kai Tong, Yu Zheng, Jianting Zhou\",\"doi\":\"10.1155/2023/6672823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p>To accurately evaluate the overall corrosion degree of reinforced concrete (RC) beams, on the basis of the SMFL technology, the overall random corrosion detection experiment of six RC beams was carried out. The relationship between the tangential component <i>B</i><sub><i>y</i></sub> and the normal component <i>B</i><sub><i>z</i></sub> of the magnetic induction intensity and corrosion degree was analyzed, and a multidefect magnetic dipole model was established. The correlation between the average corrosion ratio <i>C</i> of the RC beam and the magnetic characteristic index <i>K</i><sub><i>G</i></sub> was emphatically explored. The results showed that, with the increase in the average corrosion ratio <i>C</i>, the magnetic characteristic index <i>K</i><sub><i>G</i></sub> showed an increasing trend as a whole. The index <i>K</i><sub><i>G</i></sub> could weaken the influence of different historical magnetizations, but it had a certain dispersion. On the basis of the correlation and the Naive Bayesian model, the average corrosion ratio <i>C</i> was divided into four grades. The probability of <i>C</i> falling in different value ranges can be quantitatively evaluated using the <i>K</i><sub><i>G</i></sub> magnetic characteristic index. The reliability is as high as 97.4% and as low as 56.8% so as to realize the quantitative grading evaluation of the corrosion of the rebar in the RC beam.</p>\\n </div>\",\"PeriodicalId\":49471,\"journal\":{\"name\":\"Structural Control & Health Monitoring\",\"volume\":\"2023 1\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2023/6672823\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Structural Control & Health Monitoring\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/2023/6672823\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structural Control & Health Monitoring","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2023/6672823","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Grading Evaluation of Overall Corrosion Degree of Corroded RC Beams via SMFL Technique
To accurately evaluate the overall corrosion degree of reinforced concrete (RC) beams, on the basis of the SMFL technology, the overall random corrosion detection experiment of six RC beams was carried out. The relationship between the tangential component By and the normal component Bz of the magnetic induction intensity and corrosion degree was analyzed, and a multidefect magnetic dipole model was established. The correlation between the average corrosion ratio C of the RC beam and the magnetic characteristic index KG was emphatically explored. The results showed that, with the increase in the average corrosion ratio C, the magnetic characteristic index KG showed an increasing trend as a whole. The index KG could weaken the influence of different historical magnetizations, but it had a certain dispersion. On the basis of the correlation and the Naive Bayesian model, the average corrosion ratio C was divided into four grades. The probability of C falling in different value ranges can be quantitatively evaluated using the KG magnetic characteristic index. The reliability is as high as 97.4% and as low as 56.8% so as to realize the quantitative grading evaluation of the corrosion of the rebar in the RC beam.
期刊介绍:
The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications.
Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics.
Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.