[HTML][HTML] A machine learning method for predicting the chloride migration coefficient of concrete

WZ Taffese, L Espinosa-Leal - Construction and Building Materials, 2022 - Elsevier
This work adopts a state-of-the-art machine learning algorithm, XGBoost, to predict the
chloride migration coefficient (D nssm) of concrete. An extensive database of experimental …

[HTML][HTML] Prediction of chloride resistance level of concrete using machine learning for durability and service life assessment of building structures

WZ Taffese, L Espinosa-Leal - Journal of Building Engineering, 2022 - Elsevier
The resistance of concrete to chloride penetration determines the durability and service life
of reinforced concrete building structures in coastal or chloride-laden environments. This …

Degradation Models and Maintenance Strategies for Reinforced Concrete Structures in Coastal Environments under Climate Change: A Review

LF Rincon, YM Moscoso, AEA Hamami, JC Matos… - Buildings, 2024 - mdpi.com
Modern engineering faces challenges in ensuring technical standards for service, durability,
and sustainability. Political, administrative, and budgetary factors, coupled with climate …

Short review on the application of recycled powder in cement-based materials: preparation, performance and activity excitation

Y Yang, Z Kang, B Zhan, P Gao, Q Yu, J Wang, W Zhao… - Buildings, 2022 - mdpi.com
Recycled powder is a kind of powder particle with a particle size of less than 75 μm
produced in the process of preparing recycled aggregate from construction waste with …

An efficient machine learning approach for predicting concrete chloride resistance using a comprehensive dataset

M Hosseinzadeh, SS Mousavi, A Hosseinzadeh… - Scientific Reports, 2023 - nature.com
By conducting an analysis of chloride migration in concrete, it is possible to enhance the
durability of concrete structures and mitigate the risk of corrosion. In addition, the utilization …

[HTML][HTML] Unveiling non-steady chloride migration insights through explainable machine learning

WZ Taffese, L Espinosa-Leal - Journal of Building Engineering, 2024 - Elsevier
This study explores the influence of concrete mix ingredients on the non-steady chloride
migration coefficient (D nssm) using an explainable machine learning (XML) approach that …

Evaluation of Mechanical and Durability Properties of Eco‐Friendly Concrete Containing Silica Fume, Waste Glass Powder, and Ground Granulated Blast Furnace …

M Bameri, S Rashidi… - … in Materials Science …, 2022 - Wiley Online Library
By considering the adverse environmental impacts of the cement manufacturing process,
there have been many efforts for cement replacement by supplementary cementitious …

The rapid chloride migration test as a method to determine the chloride penetration resistance of concrete in marine environment

J Pontes, S Real, JA Bogas - Construction and Building Materials, 2023 - Elsevier
This paper analyses the use of the rapid chloride migration test (RCMT) in assessing the
long-term chloride penetration resistance of concrete in real marine environment. Based on …

Service life prediction and environmental impact evaluation of recycled aggregate concrete with supplementary cementitious materials

Y Wang, J Liao, Z Liu - Construction and Building Materials, 2023 - Elsevier
The application of recycled aggregate concrete (RAC) can promote the harmonious
development of resources and environment. However, the mechanical properties and …

[HTML][HTML] Multitarget regression models for predicting compressive strength and chloride resistance of concrete

WZ Taffese, L Espinosa-Leal - Journal of Building Engineering, 2023 - Elsevier
This work develops single multitarget regression models that predict compressive strength
and non-steady-state chloride migration coefficients (D nssm) of concrete simultaneously …