[HTML][HTML] Performance characteristics of cementitious composites modified with silica fume: A systematic review

Y Lou, K Khan, MN Amin, W Ahmad, AF Deifalla… - Case Studies in …, 2023 - Elsevier
The intention of this study was to examine the use of the most prevalent industrial byproduct,
silica fume, as a supplementary cementitious material (SCM). Along with the typical review …

Prediction of properties of recycled aggregate concrete using machine learning models: A critical review

Z Zhao, Y Liu, Y Lu, C Ji, C Lin, L Yao, Z Pu… - Journal of Building …, 2024 - Elsevier
Recycled aggregate concrete (RAC) not only alleviates the shortage of natural aggregates
but also promotes the recycling of construction and demolition waste, contributing to …

Evaluating strength properties of Eco-friendly Seashell-Containing Concrete: Comparative analysis of hybrid and ensemble boosting methods based on …

B Sadaghat, SA Ebrahimi, O Souri, MY Niar… - … Applications of Artificial …, 2024 - Elsevier
In the dynamic field of concrete technology, a discernible shift towards sustainability is
evident, prompted by the need to minimize reliance on natural resources and reduce the …

Interpretable machine learning for predicting the strength of 3D printed fiber-reinforced concrete (3DP-FRC)

MN Uddin, J Ye, B Deng, L Li, K Yu - Journal of Building Engineering, 2023 - Elsevier
This study aims to provide an effective and accurate machine learning approach to predict
the compressive strength (CS) and flexural strength (FS) of 3D printed fiber reinforced …

[HTML][HTML] Assessing the compressive strength of self-compacting concrete with recycled aggregates from mix ratio using machine learning approach

P Jagadesh, J de Prado-Gil, N Silva-Monteiro… - Journal of Materials …, 2023 - Elsevier
The requirement of the construction sector pushes researchers and academicians to
determine the 28-day concrete compressive strength due to less consumption of natural …

[HTML][HTML] Compressive strength evaluation of ultra-high-strength concrete by machine learning

Z Shen, AF Deifalla, P Kamiński, A Dyczko - Materials, 2022 - mdpi.com
In civil engineering, ultra-high-strength concrete (UHSC) is a useful and efficient building
material. To save money and time in the construction sector, soft computing approaches …

Mix design optimization of waste-based aggregate concrete for natural resource utilization and global warming potential

V Shobeiri, B Bennett, T **e, P Visintin - Journal of Cleaner Production, 2024 - Elsevier
Previous research has shown there is often a need to incorporate additional binders to
maintain mechanical properties when incorporating waste-based aggregates in concrete …

[HTML][HTML] Artificial intelligence-based estimation of ultra-high-strength concrete's flexural property

Q Wang, A Hussain, MU Farooqi, AF Deifalla - Case Studies in …, 2022 - Elsevier
Abstract Advancement in Artificial Intelligence (AI) techniques and their applications in the
construction industry, particularly for predicting mechanical properties of concrete, leads to …

[HTML][HTML] Investigating the feasibility of using waste eggshells in cement-based materials for sustainable construction

K Khan, W Ahmad, MN Amin, AF Deifalla - Journal of Materials Research …, 2023 - Elsevier
To investigate the effect of eggshell powder on the water-absorption capacity of cement
mortar, this research employed experimental testing followed by machine learning (ML) …

Development and strength prediction of sustainable concrete having binary and ternary cementitious blends and incorporating recycled aggregates from demolished …

S Al Martini, R Sabouni, A Khartabil, TG Wakjira… - … and Building Materials, 2023 - Elsevier
This study investigates the mechanical properties of concrete mixes containing recycled
concrete aggregate (RCA) from demolished buildings in Abu Dhabi, aiming to promote …