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[HTML][HTML] Performance characteristics of cementitious composites modified with silica fume: A systematic review
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 …
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
Recycled aggregate concrete (RAC) not only alleviates the shortage of natural aggregates
but also promotes the recycling of construction and demolition waste, contributing to …
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 …
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 …
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)
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 …
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
The requirement of the construction sector pushes researchers and academicians to
determine the 28-day concrete compressive strength due to less consumption of natural …
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
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 …
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
Previous research has shown there is often a need to incorporate additional binders to
maintain mechanical properties when incorporating waste-based aggregates in concrete …
maintain mechanical properties when incorporating waste-based aggregates in concrete …
[HTML][HTML] Artificial intelligence-based estimation of ultra-high-strength concrete's flexural property
Abstract Advancement in Artificial Intelligence (AI) techniques and their applications in the
construction industry, particularly for predicting mechanical properties of concrete, leads to …
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
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) …
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 …
This study investigates the mechanical properties of concrete mixes containing recycled
concrete aggregate (RCA) from demolished buildings in Abu Dhabi, aiming to promote …
concrete aggregate (RCA) from demolished buildings in Abu Dhabi, aiming to promote …