Evolution of cable corrosion characteristics and life reliability analysis for cable stayed bridges

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2025-03-28 DOI:10.1016/j.ijfatigue.2025.108960

Qianling Wang , Guowen Yao , Xuanrui Yu , Xuanbo He , Yuan Qu , Shicong Yang , Mingxun Hou , Tao Zhang , Guangxian Yan

{"title":"Evolution of cable corrosion characteristics and life reliability analysis for cable stayed bridges","authors":"Qianling Wang , Guowen Yao , Xuanrui Yu , Xuanbo He , Yuan Qu , Shicong Yang , Mingxun Hou , Tao Zhang , Guangxian Yan","doi":"10.1016/j.ijfatigue.2025.108960","DOIUrl":null,"url":null,"abstract":"<div><div>Corrosion fatigue of high-strength steel wires is a critical factor influencing the durability and reliability of cable-stayed bridges. In this study, high-strength steel wires were subjected to natural corrosion, stress-free accelerated corrosion, and stress-accelerated corrosion tests. The corrosion pit characteristics of the steel wires were analyzed using a three-dimensional scanner, and their fatigue life was determined through fatigue testing. Based on these data, a time-varying distribution model of the corrosion characteristics was established using the Weibull distribution function, and the effects of different corrosive environments on the corrosion pits were systematically analyzed. Building on this foundation, a time-varying fatigue life survival probability model for high-strength steel wires, based on corrosion pit characteristics, was further developed. The results demonstrate that the Weibull function more accurately describes the distribution patterns of corrosion pit characteristics compared to other functions, and different corrosive environments significantly influence the distribution forms of corrosion pits. The established time-varying Weibull model for corrosion characteristics and the time-varying fatigue life survival probability model effectively predict the corrosion characteristics and fatigue life survival probability of high-strength steel wires. Additionally, it was found that defect parameters provide a more accurate measure of corrosion severity than the weight loss rate and depth-to-diameter ratio. These findings offer valuable insights for assessing and predicting the long-term performance of high-strength steel wires in corrosive environments.</div></div>","PeriodicalId":14112,"journal":{"name":"International Journal of Fatigue","volume":"197 ","pages":"Article 108960"},"PeriodicalIF":5.7000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fatigue","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142112325001574","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Corrosion fatigue of high-strength steel wires is a critical factor influencing the durability and reliability of cable-stayed bridges. In this study, high-strength steel wires were subjected to natural corrosion, stress-free accelerated corrosion, and stress-accelerated corrosion tests. The corrosion pit characteristics of the steel wires were analyzed using a three-dimensional scanner, and their fatigue life was determined through fatigue testing. Based on these data, a time-varying distribution model of the corrosion characteristics was established using the Weibull distribution function, and the effects of different corrosive environments on the corrosion pits were systematically analyzed. Building on this foundation, a time-varying fatigue life survival probability model for high-strength steel wires, based on corrosion pit characteristics, was further developed. The results demonstrate that the Weibull function more accurately describes the distribution patterns of corrosion pit characteristics compared to other functions, and different corrosive environments significantly influence the distribution forms of corrosion pits. The established time-varying Weibull model for corrosion characteristics and the time-varying fatigue life survival probability model effectively predict the corrosion characteristics and fatigue life survival probability of high-strength steel wires. Additionally, it was found that defect parameters provide a more accurate measure of corrosion severity than the weight loss rate and depth-to-diameter ratio. These findings offer valuable insights for assessing and predicting the long-term performance of high-strength steel wires in corrosive environments.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Fatigue 工程技术-材料科学：综合

CiteScore

10.70

自引率

21.70%

发文量

619

审稿时长

58 days

期刊介绍： Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.