{"title":"Fracture Behavior of Mild Steel Based on Numerical Algorithm","authors":"Jianguo Zhang, Jianxin Kou, Weiji Sun, Zhongwei Zhao","doi":"10.1007/s13296-024-00906-8","DOIUrl":null,"url":null,"abstract":"<div><p>The fracture of randomly corroded steel members is one of the most key issues except the residual strength. Randomly corroded steel member fractures have historically been studied through experimentation. However, experimental results have often been limited in concluding the probabilistic distribution mode of ductility due to corrosion’s randomness. Thus, a corresponding numerical algorithm is necessary to predict the ductility of corroded steel members. The work is conducted based on this background. A numerical algorithm suitable for analyzing fractures is proposed. The reliability of the proposed algorithm is validated by comparison with experimental results and Ls-Dyna code. The influence of element size on ductility is revealed. The factors influencing accuracy of ductility of proposed algorithm are systematically investigated. The fracture of randomly corroded steel bars is analyzed. The results indicated that both <i>E</i><sub>size</sub> and <i>f</i><sub>s</sub> influence ductility. Adjusting the <i>f</i><sub>s</sub> can weaken the influence of <i>E</i><sub>size</sub>. The probabilistic distribution model of maximum strain corresponding to different levels of corrosion severity varies. The work in this paper can provide a novel way for fracture analysis of randomly corroded steel members.</p></div>","PeriodicalId":596,"journal":{"name":"International Journal of Steel Structures","volume":"25 1","pages":"162 - 173"},"PeriodicalIF":1.1000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Steel Structures","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s13296-024-00906-8","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The fracture of randomly corroded steel members is one of the most key issues except the residual strength. Randomly corroded steel member fractures have historically been studied through experimentation. However, experimental results have often been limited in concluding the probabilistic distribution mode of ductility due to corrosion’s randomness. Thus, a corresponding numerical algorithm is necessary to predict the ductility of corroded steel members. The work is conducted based on this background. A numerical algorithm suitable for analyzing fractures is proposed. The reliability of the proposed algorithm is validated by comparison with experimental results and Ls-Dyna code. The influence of element size on ductility is revealed. The factors influencing accuracy of ductility of proposed algorithm are systematically investigated. The fracture of randomly corroded steel bars is analyzed. The results indicated that both Esize and fs influence ductility. Adjusting the fs can weaken the influence of Esize. The probabilistic distribution model of maximum strain corresponding to different levels of corrosion severity varies. The work in this paper can provide a novel way for fracture analysis of randomly corroded steel members.
期刊介绍:
The International Journal of Steel Structures provides an international forum for a broad classification of technical papers in steel structural research and its applications. The journal aims to reach not only researchers, but also practicing engineers. Coverage encompasses such topics as stability, fatigue, non-linear behavior, dynamics, reliability, fire, design codes, computer-aided analysis and design, optimization, expert systems, connections, fabrications, maintenance, bridges, off-shore structures, jetties, stadiums, transmission towers, marine vessels, storage tanks, pressure vessels, aerospace, and pipelines and more.