{"title":"Research on fatigue crack propagation behavior and reliability evaluation of steel bridge","authors":"Junting Li , Sanqing Su , Wei Wang","doi":"10.1016/j.jcsr.2025.109421","DOIUrl":null,"url":null,"abstract":"<div><div>This paper conducted high-cycle fatigue tests on a typical welded structure of a steel bridge and monitored the fatigue crack growth behavior using the metal magnetic memory (MMM) technique. The change rule of the normal magnetic signal during fatigue was analyzed, and the maximum value of the magnetic signal gradient was selected as a characteristic parameter to describe the fatigue behavior of the specimens. Subsequently, a quantitative relationship between the fatigue crack growth length and the magnetic characteristic parameters was established. Based on the proposed relationship, sensitivity analyses of the magnetic characteristics, fatigue parameters were conducted, and a fatigue reliability study was carried out. The results indicated that the magnetic signal gradient value could better describe the fatigue behavior of the specimen. The errors between the predicted and tested crack lengths were within 16 %. The established fatigue reliability assessment method for steel bridges based on magnetic memory technology can accurately and timely determine the safety status of critical bridge components, thus helping formulate appropriate maintenance strategies.</div></div>","PeriodicalId":15557,"journal":{"name":"Journal of Constructional Steel Research","volume":"228 ","pages":"Article 109421"},"PeriodicalIF":4.0000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Constructional Steel Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0143974X25000999","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/17 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper conducted high-cycle fatigue tests on a typical welded structure of a steel bridge and monitored the fatigue crack growth behavior using the metal magnetic memory (MMM) technique. The change rule of the normal magnetic signal during fatigue was analyzed, and the maximum value of the magnetic signal gradient was selected as a characteristic parameter to describe the fatigue behavior of the specimens. Subsequently, a quantitative relationship between the fatigue crack growth length and the magnetic characteristic parameters was established. Based on the proposed relationship, sensitivity analyses of the magnetic characteristics, fatigue parameters were conducted, and a fatigue reliability study was carried out. The results indicated that the magnetic signal gradient value could better describe the fatigue behavior of the specimen. The errors between the predicted and tested crack lengths were within 16 %. The established fatigue reliability assessment method for steel bridges based on magnetic memory technology can accurately and timely determine the safety status of critical bridge components, thus helping formulate appropriate maintenance strategies.
期刊介绍：
The Journal of Constructional Steel Research provides an international forum for the presentation and discussion of the latest developments in structural steel research and their applications. It is aimed not only at researchers but also at those likely to be most affected by research results, i.e. designers and fabricators. Original papers of a high standard dealing with all aspects of steel research including theoretical and experimental research on elements, assemblages, connection and material properties are considered for publication.
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