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A modelling framework for predicting carbonation-induced corrosion in reinforced concrete is presented. The framework constituents include a new model for water transport in cracked concrete, a link between corrosion current density and…

Computational Engineering, Finance, and Science · Computer Science 2024-05-07 E. Korec , L. Mingazzi , F. Freddi , E. Martínez-Pañeda

Chloride-induced corrosion significantly contributes to the degradation of reinforced concrete structures, making accurate predictions of chloride migration and its effects on material durability critical. This paper explores two modeling…

Computational Engineering, Finance, and Science · Computer Science 2024-11-26 A. Potnis , M. Macier , T. Leusmann , D. Anton , H. Wessels , D. Lowke

Corrosion in concrete prevents in-situ observation, necessitating models to provide insight into the local reaction currents. We present a computational method for predicting corrosion rates of reinforcements within concrete under natural…

Chemical Physics · Physics 2025-04-15 T. Hageman , C. Andrade , E. Martínez-Pañeda

In this paper, we propose a new technique that applies automated image analysis in the area of structural corrosion monitoring and demonstrate improved efficacy compared to existing approaches. Structural corrosion monitoring is the initial…

Computer Vision and Pattern Recognition · Computer Science 2022-01-12 Abdur Rahim Mohammad Forkan , Yong-Bin Kang , Prem Prakash Jayaraman , Kewen Liao , Rohit Kaul , Graham Morgan , Rajiv Ranjan , Samir Sinha

A model for corrosion-induced cracking of reinforced concrete subjected to non-uniform chloride-induced corrosion is presented. The gradual corrosion initiation of the steel surface is investigated by simulating chloride transport…

Computational Engineering, Finance, and Science · Computer Science 2023-12-12 E. Korec , M. Jirasek , H. S. Wong , E. Martínez-Pañeda

Concrete is the most widely used construction material worldwide; however, reliable prediction of compressive strength remains challenging due to material heterogeneity, variable mix proportions, and sensitivity to field and environmental…

Machine Learning · Computer Science 2026-01-15 Md Asiful Islam , Md Ahmed Al Muzaddid , Afia Jahin Prema , Sreenath Reddy Vuske

For corrosion-induced cracking in reinforced concrete, naturally occurring corrosion rates are so low that rust accumulates often over tens of years near the surface of the reinforcement bars before sufficient pressure in the surrounding…

Materials Science · Physics 2022-02-08 Ismail Aldellaa , Petr Havlásek , Milan Jirásek , Peter Grassl

This paper employs a data-driven approach to determine the impact of concrete mixture compositions on the temporal evolution of chloride in concrete structures. This is critical for assessing the service life of civil infrastructure…

Machine Learning · Computer Science 2026-01-06 Mojtaba Aliasghar-Mamaghani , Mohammadreza Khalafi

As data from monitored structures become increasingly available, the demand grows for it to be used efficiently to add value to structural operation and management. One way in which this can be achieved is to use structural response…

Applications · Statistics 2025-05-14 Nicholas E. Silionis , Konstantinos N. Anyfantis

Accelerated impressed current testing is the most common experimental method for assessing the susceptibility to corrosion-induced cracking, the most prominent challenge to the durability of reinforced concrete structures. Although it is…

Computational Engineering, Finance, and Science · Computer Science 2024-09-11 E. Korec , M. Jirasek , H. S. Wong , E. Martínez-Pañeda

Porosity has been identified as the key indicator of the durability properties of concrete exposed to aggressive environments. This paper applies ensemble learning to predict porosity of high-performance concrete containing supplementary…

Machine Learning · Computer Science 2022-12-06 Chong Cao

Corrosion has a wide impact on society, causing catastrophic damage to structurally engineered components. An emerging class of corrosion-resistant materials are high-entropy alloys. However, high-entropy alloys live in high-dimensional…

Materials Science · Physics 2024-09-12 Cheng Zeng , Andrew Neils , Jack Lesko , Nathan Post

Assessing the degradation state of an industrial asset first requires evaluating its current condition and then to project the forecast model trajectory to a predefined prognostic threshold, thereby estimating its remaining useful life…

Methodology · Statistics 2025-10-06 Edgar Jaber , Emmanuel Remy , Vincent Chabridon , Mathilde Mougeot , Didier Lucor

Cement production is among the largest contributors to industrial air pollution, emitting ~3 Mt NOx/year. The industry-standard mitigation approach, selective non-catalytic reduction (SNCR), exhibits low NH3 utilization efficiency,…

The present work involves the discrete modelling of corrosion induced cracking and its influence on the bond between reinforcement and concrete. A lattice approach is used to describe the mechanical interaction of a corroding reinforcement…

Materials Science · Physics 2010-01-12 Peter Grassl , Trevor Davies

Due to the significant delay and cost associated with experimental tests, a model based evaluation of concrete compressive strength is of high value, both for the purpose of strength prediction as well as the mixture optimization. In this…

Machine Learning · Computer Science 2021-06-15 Seyed Arman Taghizadeh Motlagh , Mehran Naghizadehrokni

Experiments remain the gold standard to establish an understanding of fire-related phenomena. A primary goal in designing tests is to uncover the data generating process (i.e., the how and why the observations we see come to be); or simply…

Machine Learning · Computer Science 2022-04-13 M. Z. Naser , Aybike Ozyuksel Ciftcioglu

A lattice approach is used to describe the mechanical interaction of a corroding reinforcement bar, the surrounding concrete and the interface between steel reinforcement and concrete. The cross-section of the ribbed reinforcement bar is…

Materials Science · Physics 2011-03-23 Peter Grassl , Trevor Davies

Electrochemical corrosion significantly reduces the durability of electrodes in water electrolyzers, adversely affecting hydrogen (H$_2$) production and cell efficiency. Current theoretical models inadequately assess corrosion behaviors in…

Recommender Systems (RS) shape the filtering and curation of online content, yet we have limited understanding of how predictable their recommendation outputs are. We propose data-driven metrics that quantify the predictability of…

Information Retrieval · Computer Science 2026-04-01 Andrés Abeliuk , Alfonso Valderrama , Simón Campos , Marcelo Mendoza
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