{"title":"Innovative 3D cellular automata simulation of corrosion evolution and mechanical property in weathering steel and butt welds","authors":"Wei Lu, Zhiyu Jie, Hao Zheng, Lexin Zhang","doi":"10.1016/j.conbuildmat.2025.141290","DOIUrl":null,"url":null,"abstract":"<div><div>Weathering steel is increasingly used in bridge engineering due to its excellent atmospheric corrosion resistance. However, corrosion damage and mechanical property degradation, especially in marine environments, remain critical concerns. This study conducted accelerated corrosion tests on weathering steel and butt weld specimens under three corrosion levels, characterizing surface corrosion morphology and pit depth distribution using 3D laser scanning. An innovative 3D cellular automata (CA) model combined with a genetic algorithm was developed to reconstruct corrosion morphology based on actual corrosion parameters. Mechanical properties of uncorroded and corroded specimens were obtained by monotonic tensile tests and elastoplastic finite element analyses. The results show that the weld metal zone exhibits the highest corrosion resistance, while the heat-affected zone shows the lowest. The improved 3D CA model predicts pit depths with an error margin of less than 5 %, demonstrating high accuracy. Pit depths for base metal and weld specimens follow lognormal and normal distributions, respectively. As the corrosion degree increases, the elastic modulus, yield strength, tensile strength, and elongation decrease, with maximum reductions of 27.21 %, 9.56 %, 9.75 %, and 48.28 %, respectively. A linear relationship is observed between the degradation rate and the corrosion degree, except for elongation in weld specimens. Stress concentration and mechanical property degradation are more pronounced in weld specimens compared to base metal specimens. The proposed 3D CA model is validated for accurately simulating both corrosion processes and mechanical property degradation.</div></div>","PeriodicalId":288,"journal":{"name":"Construction and Building Materials","volume":"476 ","pages":"Article 141290"},"PeriodicalIF":8.0000,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Construction and Building Materials","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950061825014382","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Weathering steel is increasingly used in bridge engineering due to its excellent atmospheric corrosion resistance. However, corrosion damage and mechanical property degradation, especially in marine environments, remain critical concerns. This study conducted accelerated corrosion tests on weathering steel and butt weld specimens under three corrosion levels, characterizing surface corrosion morphology and pit depth distribution using 3D laser scanning. An innovative 3D cellular automata (CA) model combined with a genetic algorithm was developed to reconstruct corrosion morphology based on actual corrosion parameters. Mechanical properties of uncorroded and corroded specimens were obtained by monotonic tensile tests and elastoplastic finite element analyses. The results show that the weld metal zone exhibits the highest corrosion resistance, while the heat-affected zone shows the lowest. The improved 3D CA model predicts pit depths with an error margin of less than 5 %, demonstrating high accuracy. Pit depths for base metal and weld specimens follow lognormal and normal distributions, respectively. As the corrosion degree increases, the elastic modulus, yield strength, tensile strength, and elongation decrease, with maximum reductions of 27.21 %, 9.56 %, 9.75 %, and 48.28 %, respectively. A linear relationship is observed between the degradation rate and the corrosion degree, except for elongation in weld specimens. Stress concentration and mechanical property degradation are more pronounced in weld specimens compared to base metal specimens. The proposed 3D CA model is validated for accurately simulating both corrosion processes and mechanical property degradation.
由于耐候钢具有优异的耐大气腐蚀性能,因此在桥梁工程中的应用越来越广泛。然而,腐蚀破坏和机械性能退化,尤其是在海洋环境中的腐蚀破坏和机械性能退化,仍然是令人严重关切的问题。本研究在三个腐蚀等级下对耐候钢和对接焊缝试样进行了加速腐蚀试验,并使用三维激光扫描表征了表面腐蚀形态和凹坑深度分布。结合遗传算法开发了一种创新的三维细胞自动机(CA)模型,可根据实际腐蚀参数重建腐蚀形态。通过单调拉伸试验和弹性有限元分析获得了未腐蚀和已腐蚀试样的机械性能。结果表明,焊接金属区的耐腐蚀性最高,而热影响区的耐腐蚀性最低。改进后的三维 CA 模型可预测凹坑深度,误差率小于 5%,显示出很高的准确性。母材和焊缝试样的凹坑深度分别呈对数正态分布和正态分布。随着腐蚀程度的增加,弹性模量、屈服强度、抗拉强度和伸长率均有所下降,最大降幅分别为 27.21%、9.56%、9.75% 和 48.28%。除焊接试样的伸长率外,降解率与腐蚀程度之间呈线性关系。与母材试样相比,焊缝试样的应力集中和机械性能退化更为明显。所提出的三维 CA 模型在精确模拟腐蚀过程和机械性能退化方面都得到了验证。
期刊介绍:
Construction and Building Materials offers an international platform for sharing innovative and original research and development in the realm of construction and building materials, along with their practical applications in new projects and repair practices. The journal publishes a diverse array of pioneering research and application papers, detailing laboratory investigations and, to a limited extent, numerical analyses or reports on full-scale projects. Multi-part papers are discouraged.
Additionally, Construction and Building Materials features comprehensive case studies and insightful review articles that contribute to new insights in the field. Our focus is on papers related to construction materials, excluding those on structural engineering, geotechnics, and unbound highway layers. Covered materials and technologies encompass cement, concrete reinforcement, bricks and mortars, additives, corrosion technology, ceramics, timber, steel, polymers, glass fibers, recycled materials, bamboo, rammed earth, non-conventional building materials, bituminous materials, and applications in railway materials.