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Applied Infrastructure Corrosion Science for Construction Practice Advancement
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Applied Infrastructure Corrosion Science for Construction Practice Advancement

A special issue of Corrosion and Materials Degradation (ISSN 2624-5558).

Deadline for manuscript submissions: 30 June 2025 | Viewed by 3483

Special Issue Editors

Dr. Igor Chaves

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Guest Editor
School of Engineering (Civil Engineering), University of Newcastle, Callaghan, Australia
Interests: structural engineering; structural materials science; infrastructure engineering and asset management
Dr. Robert B. Petersen

E-Mail Website
Guest Editor
School of Engineering (Civil Engineering), University of Newcastle, Callaghan, Australia
Interests: structural mechanics; corrosion modelling
Prof. Dr. Robert Melchers

E-Mail Website
Guest Editor
School of Engineering (Civil Engineering), University of Newcastle, Newcastle, Australia
Interests: civil engineering; corrosion; probabilistic modelling; structural engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Corrosion is a significant issue affecting the remaining service life of existing structures and the potential service life of new structures. Decisions made during the design and construction of infrastructure can have long-term effects on the extent and rate of corrosion, affecting remaining service life. Such decisions are, in most cases, based on guidance given in national design and construction codes of practice. These codes are based on conventional established principles and findings, empirical data, and inputs from committees of experts and stakeholders. There is typically a lag between the guidance given in these codes of practice and the current state of the art, as documented in the academic literature. A similar scenario exists for guidelines used to assess existing structures. New research offers an improved understanding of long-term corrosion and any influencing factors, which is of interest to owners and managers of existing and potential new infrastructure.

This Special Issue aims to bridge the gap between state-of-the-art corrosion research and current codes of practice and assessment guidelines. This Special Issue will highlight practical research (both current and emerging) which eventually will help shape future codes of practice and guidelines for the design and construction of infrastructure and for their assessment.

Dr. Igor Chaves
Dr. Robert B. Petersen
Prof. Dr. Robert Melchers
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Corrosion and Materials Degradation is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • corrosion
  • long-term corrosion
  • construction structure
  • corrosion of infrastructure

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

17 pages, 1772 KiB  
Article
Selection of a Critical Chloride Level for Full Probabilistic Modelling
by Frank Papworth, Carmen Andrade and Federica Lollini
Corros. Mater. Degrad. 2025, 6(2), 21; https://doi.org/10.3390/cmd6020021 - 31 May 2025
Viewed by 189
Abstract
In 2022, a working party (fib TG 8.9.3) was formed to try and better develop critical chloride (Ccrit) distributions for use in modelling new structures and assessing existing structures. The authors of this paper are leading TG 8.9.3. and are in [...] Read more.
In 2022, a working party (fib TG 8.9.3) was formed to try and better develop critical chloride (Ccrit) distributions for use in modelling new structures and assessing existing structures. The authors of this paper are leading TG 8.9.3. and are in the process of writing a Bulletin (the Bulletin) that will detail how Ccrit values have been developed since the 1970s. The Bulletin notes that chloride-induced corrosion initiation modelling based on Ccrit is not intended as a sole durability assessment tool for structures exposed to chloride. It is recognized that voids and moisture at the bar can control corrosion activation virtually independent of chloride content, but in most cases sufficient voids and moisture are present so that the arrival of adequate chloride triggers corrosion activation of the reinforcement. So, durability verification by modelling restriction of chloride penetration, so that the concentration at the bar is less than that commonly found to cause corrosion, seems appropriate. This empirical approach was first fully detailed in fib Bulletin 34 A key part in the empirical model is the ‘adequate chloride to trigger corrosion activation’ Ccrit. Although Ccrit has a wide distribution and has different distributions in different environments and concrete compositions, its use in modelling provides greater design flexibility and improved confidence compared to the Deemed-to-Satisfy (DtS) rules included in most codes. Because of the limitations in DtS provisions, modelling provides more effective designs by incorporating specific criteria for a broad range of exposures, materials, and construction methods. This paper proposes that a lower bound for Ccrit distributions for a range of materials and exposures can be developed from published papers. This paper includes Ccrit distributions for steel fibres, carbon steel (above and below water), high tensile steel, galvanized steel, and stainless steels. These are expected to be recommended in the Bulletin. Full article
(This article belongs to the Special Issue Applied Infrastructure Corrosion Science for Construction Practice Advancement)
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19 pages, 1669 KiB  
Article
Infrastructure Lifecycle Corrosion Management Using AI Analytics and Digital Twins
by Bilal Ayyub and Karl Stambaugh
Corros. Mater. Degrad. 2025, 6(2), 18; https://doi.org/10.3390/cmd6020018 - 27 May 2025
Viewed by 265
Abstract
Corrosion in infrastructure creates high-risk scenarios, and mitigation strategies are expensive, with significant annual costs globally. This paper advances the discourse of corrosion monitoring and tracking in infrastructure, emphasizing the importance of data analytics, AI, and Digital Twins (DT) for managing the infrastructure [...] Read more.
Corrosion in infrastructure creates high-risk scenarios, and mitigation strategies are expensive, with significant annual costs globally. This paper advances the discourse of corrosion monitoring and tracking in infrastructure, emphasizing the importance of data analytics, AI, and Digital Twins (DT) for managing the infrastructure lifecycle while reducing risk and costs associated with corrosion. The non-parametric analysis of corrosion data is demonstrated to provide insights into spatial and temporal variations, helping in predictive modeling and decision-making. Strategic sampling and analysis of corrosion data help in making evidence-based maintenance decisions, reducing costs, and improving safety. AI analytics enhances the functionality of corrosion databases and Digital Twins, enabling predictive analytics and real-time simulations for better decision-making. Recommendations are provided for the implementation of AI in engineering applications, including data quantity and training resources, but offer significant potential for improved corrosion management. Full article
(This article belongs to the Special Issue Applied Infrastructure Corrosion Science for Construction Practice Advancement)
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12 pages, 4207 KiB  
Article
Influence of Bottom Chloride-Induced Corrosion on Truck Collision Response and Damage of Coastal Reinforced Concrete Bridge Piers
by Yu Liu and Yun Zhou
Corros. Mater. Degrad. 2025, 6(1), 11; https://doi.org/10.3390/cmd6010011 - 26 Feb 2025
Viewed by 676
Abstract
Coastal reinforced concrete (RC) bridge piers are often subjected to seawater splash and tidal action, leading to bottom corrosion of the steel reinforcement and thereby producing the corrosion–induced cracks of concrete. The increased risk of vehicle collisions to piers poses significant threats to [...] Read more.
Coastal reinforced concrete (RC) bridge piers are often subjected to seawater splash and tidal action, leading to bottom corrosion of the steel reinforcement and thereby producing the corrosion–induced cracks of concrete. The increased risk of vehicle collisions to piers poses significant threats to bridge and traffic disruption, potentially causing severe pier damage or even bridge collapse. Many studies have investigated the dynamic responses of bridge piers to vehicle collisions, but no study of the effect of the corrosion degradation of piers on vehicle collision response and damage has been reported yet. This study numerically investigates the influence of bottom chloride-induced corrosion on the truck collision response and damage of coastal RC bridge piers by using LS-DYNA. The results reveal that localized damage occurs in the impact zone for both intact and corroded piers. For the corroded pier, punching shear failure becomes the dominant failure mode and the pier is more vulnerable to collapse at lower truck velocities. Corrosion degradation influences the dynamic response, increasing the lateral displacement of the pier while reducing the impact force, particularly during the engine and cargo impact stages of truck collisions. The impulses in 500 ms collision time show reductions of 1.1% and 4.3% for piers with 45-year and 90-year corrosion, respectively. Notably, the lateral displacement at the bottom corrosion zone shows no oscillations due to the punching shear failure. Full article
(This article belongs to the Special Issue Applied Infrastructure Corrosion Science for Construction Practice Advancement)
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18 pages, 7990 KiB  
Article
Influence of Silica Fume (SF) Content on Passive Film Formation of Steel Reinforcement Inside Hardened Concrete
by Marcella Amaral, Isaac Aguiar Oliveira, Diogo Henrique de Bem, Giovana Costa Réus, Gustavo Macioski, Marcelo Miranda Farias and Marcelo Henrique Farias de Medeiros
Corros. Mater. Degrad. 2025, 6(1), 3; https://doi.org/10.3390/cmd6010003 - 13 Jan 2025
Viewed by 1115
Abstract
Corrosion is one of the causes of failure in reinforced concrete structures, and forming a passive film on the steel is essential for protection. Although several studies have looked at passive film formation in concrete pore solutions, few have considered its formation in [...] Read more.
Corrosion is one of the causes of failure in reinforced concrete structures, and forming a passive film on the steel is essential for protection. Although several studies have looked at passive film formation in concrete pore solutions, few have considered its formation in hardened concrete and the influence of silica fume (SF) in the binder composition. This study aims to evaluate the influence of the SF content on passive film formation time in concrete. Periodic measurements assessed the electrical resistivity and corrosion current density of concrete samples containing 5%, 10%, 15%, and 20% SF. The alkalinity of the mixtures and the kinetics of the pozzolanic reaction were also monitored by XRD and titration tests. The control mixtures exhibited susceptibility to corrosion, regardless of the curing age evaluated. In contrast, the partial replacement of cement with SF accelerated the formation of the passive film on the steel surface, suggesting a delayed onset of corrosion due to modifications in the physical properties of the concrete. Also, the portlandite content and pH can predict passive film formation, with SF significantly accelerating this process. Full article
(This article belongs to the Special Issue Applied Infrastructure Corrosion Science for Construction Practice Advancement)
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