Corrosion features and time-dependent corrosion model of Galfan coating of high strength steel wires

Yuan, Yangguang; Liu, Xiaodong; Pu, Guangning; Wang, Tao; Guo, Qi

doi:10.1016/j.conbuildmat.2021.125534

Cited by 17 publications

(6 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, the effect of atmosphere and tide factors were not considered for the corrosion sample in submerged zone, while all the environmental factors were considered for that in tidal and splash zones. The exposure time was also utilized as an input, due to the corrosion behavior has been extensively proved to be a time-dependent process [28][29][30]. Additionally, since the data of corrosion rate are not well distributed and also span a few orders of magnitude, logarithmic transformation were performed here for corrosion rate to reduce modeling error (see table 1), the results show that logarithmic transformation could slightly improve the prediction accuracy of corrosion rate (see figure S1 in supplementary file).…”

Section: Dataset For Corrosion Rate In Different Marine Zonesmentioning

confidence: 99%

Evaluating the corrosion resistance of marine steels under different exposure environments via machine learning

Li¹,

Long²,

Lei³

et al. 2022

Phys. Scr.

View full text Add to dashboard Cite

The corrosion behavior of marine engineering steels in marine environment is an extremely complex process, which poses great challenge to accurately evaluate the corrosion resistance of various stees in different marine environment. Owing to the wide application of machine learning (ML) approaches and the accumulation of corrosion data of different steels in natural marine environment, herein, we reported eXtreme Gradient Boosting (XGBoost) ML models for predicting the corrosion rate in submerged, tidal and splash zones. By taking material composition, environmental factors and exposure time as inputs, the developed prediction models can well predict the corrosion rate with the accuracy of 93%, 96% and 93% for submerged, tidal and splash zones, respectively. In addition, we identified the key factors affecting the corrosion resistance of steels in different marine zones, and analyzed the relationship between these factors and corrosion rate by applying SHapley Additive exPlanations (SHAP) method. This work demonstrates that ML model combined with SHAP method are efficient in evaluating corrosion behavior of various steels in different marine environment.

show abstract

Section: Dataset For Corrosion Rate In Different Marine Zonesmentioning

confidence: 99%

Evaluating the corrosion resistance of marine steels under different exposure environments via machine learning

Li¹,

Long²,

Lei³

et al. 2022

Phys. Scr.

View full text Add to dashboard Cite

show abstract

“…Numerous studies on the deterioration process of parallel steel wires or strands have been conducted considering corrosion and fatigue damages in the steel wires. Some experiments have been conducted to reveal the corrosion deterioration mechanism of wires showing that corrosion variability of high-strength steel wire has a significant influence on the service performance deterioration behaviors (Li et al, 2014a;Yuan et al, 2021aYuan et al, , 2021b, and some experiments focus on the fatigue performance of corroded high-strength steel wires used in bridges indicating that corrosion could cause a significant decrease in the fatigue life (Jiang et al, 2009;Sun, 2013;Hou, 2015;Zheng, 2018). Some corrosion fatigue models have been commonly developed to predict the remaining fatigue life of corroded steel wires based on the S-N curves and Miner cumulative damage criterion (Jiang et al, 2018;Lan et al, 2018;Jie and Susmel, 2020).…”

Section: Introductionmentioning

confidence: 99%

Fatigue life evaluation on wire rope suspenders of the suspension bridge based on a time-varying degradation process

Han

Weng

2023

Advances in Structural Engineering

View full text Add to dashboard Cite

Suspenders are critical force transmission components of a suspension bridge and may be more prone to fatigue damage due to environmental aggression and repetitive live loads. To evaluate the safety of the suspender more accurately, a fatigue life evaluation framework of the rope suspender was proposed, where a time-varying fretting-corrosion-fatigue degradation process of the rope wire and probabilistic critical limit states based on failure area were integrated. A case study on the rope suspenders of a prototype suspension bridge was performed under the random vehicle and wind loads, and the reliability indices and fatigue life of the rope suspender were obtained. Results show that the fretting wear had an obvious effect on the degradation process of the wire rope in conjunction with corrosion fatigue, and the fatigue life of the rope suspender would be less than its design life. The proposed method can comprehensively evaluate the service life of wire rope suspenders and provide replacement suggestions more timely, ensuring the safety of the bridge operation.

show abstract

“…Extensive studies have been conducted on the development mechanisms, quantitative methods, and influencing factors of corrosion fatigue [10][11][12]. The existing research generally divides the process of corrosion fatigue damage development into the pitting corrosion stage and the corrosion fatigue cracking stage [13,14].…”

Section: Introductionmentioning

confidence: 99%

Corrosion Fatigue Assessment of Bridge Cables Based on Equivalent Initial Flaw Size Model

Liu,

Guo,

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

Bridge cables under traffic loads are more prone to failure during the service life due to the corrosion–fatigue coupling effect. In this study, a novel lifespan model based on the equivalent initial flaw size (EIFS) theory is established to analyze the various stages of the lifespan of steel wires. Additionally, a comprehensive corrosion-fatigue lifespan calculation method for parallel steel wire cable is established based on the series–parallel model. A case study of the Runyang Suspension Bridge is conducted to evaluate the evolution of corrosion-fatigue damage in bridge cables during the service life. The results indicate that under the action of corrosion-fatigue, steel wires are more prone to crack initiation, and their fracture toughness is further reduced. In cases where the corrosion level is relatively low, the steel wires of the bridge cables experience no corrosion-fatigue fracture. When the steel wires have initial defects and are subject to corrosion-fatigue conditions, their fracture lifespan is dependent on the severity of the corrosive medium. The reduction in the service life of the cables under the corrosion environment is much greater than that under heavy loads. This research may contribute to the understanding of corrosion-fatigue damage in bridge cables, involving assessment, maintenance, and replacement for bridge cables.

show abstract

Corrosion features and time-dependent corrosion model of Galfan coating of high strength steel wires

Cited by 17 publications

References 35 publications

Evaluating the corrosion resistance of marine steels under different exposure environments via machine learning

Evaluating the corrosion resistance of marine steels under different exposure environments via machine learning

Fatigue life evaluation on wire rope suspenders of the suspension bridge based on a time-varying degradation process

Corrosion Fatigue Assessment of Bridge Cables Based on Equivalent Initial Flaw Size Model

Contact Info

Product

Resources

About