Developing Fracture-Based Fragility Curves for Steel Components in Corrosive Environments
Publication: Journal of Structural Engineering
Volume 148, Issue 4
Abstract
Under excessive plastic deformations, pitting corrosion accelerates ductile fracture initiation in steel components. Because of the stochastic and time-dependent nature of corrosion in steel material, the integrity of the steel components must be evaluated through a rational procedure in which corrosion uncertainties are considered to estimate the probability of failure for future events. Previous studies developed fragility curves to predict the capacity of global structures under uniform corrosion. However, for steel structures subjected to pitting corrosion, the local effect of corrosion is substantial and is also challenging to implement in the global model of structures. In this study, the concept of fracture-based fragility curves was developed at the component level by micromechanical modeling of different random pitting morphologies at a given intensity level of pitting corrosion. For this purpose, a unique meshing technique was employed to implement random pitting morphologies in numerical models. A demonstration study on a single-sided corroded plate revealed that random morphologies at an identical corrosion intensity level led to a notable dispersion in the failure elongations. The proposed fragility curves could address this effect on the probability of failure of the specimen. Therefore, decision makers can reliably utilize such curves in a comprehensive risk-based corrosion management framework to evaluate the risk of failures and determine proper treatment strategies.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors thank Dr. Zhiyu Jiang for his expertise and assistance throughout all aspects of our study and for his help in writing the manuscript.
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Journal of Structural Engineering
Volume 148 • Issue 4 • April 2022
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© 2022 American Society of Civil Engineers.
History
Received: Jul 21, 2021
Accepted: Nov 17, 2021
Published online: Jan 18, 2022
Published in print: Apr 1, 2022
Discussion open until: Jun 18, 2022
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Cited by
- Luca Caracoglia, Jamie E. Padgett, Ilaria Venanzi, Risk-Informed and Life-Cycle Analyses of Structures and Infrastructures, Journal of Structural Engineering, 10.1061/(ASCE)ST.1943-541X.0003495, 148, 12, (2022).