[HTML][HTML] Thermal and acoustic performance in textile fibre-reinforced concrete: An analytical review

KAP Wijesinghe, C Gunasekara, DW Law… - … and Building Materials, 2024 - Elsevier
Textile fibre-reinforced concrete based reviews have explored various engineering
properties, such as strengthening of concrete, enhancing strain capacity, crack control …

Strength reduction due to acid attack in cement mortar containing waste eggshell and glass: A machine learning-based modeling study

F Zhu, X Wu, Y Lu, J Huang - Buildings, 2024 - mdpi.com
The present study utilized machine learning (ML) techniques to investigate the effects of
eggshell powder (ESP) and recycled glass powder (RGP) on cement composites subjected …

Predicting the crack repair rate of self-healing concrete using soft-computing tools

Y Lou, H Wang, MN Amin, SU Arifeen, Y Dodo… - Materials Today …, 2024 - Elsevier
To tackle the challenges of cracking and insufficient durability in traditional concrete,
researchers are exploring self-healing concrete (SHC) as a potential alternative material …

Machine learning approaches to predict the strength of graphene nanoplatelets concrete: Optimization and hyper tuning with graphical user interface

TS Alahmari, K Arif - Materials Today Communications, 2024 - Elsevier
This paper focuses on the need to consider the use of multipurpose cement composite (CC)
in the construction industry to give superior performance. Therefore, incorporating …

Adsorption optimization and modeling of Hg2+ ions from aqueous solutions using response surface methodology by SNPs–CS bionanocomposite produced from rice …

S Kamari, A Shahbazi, F Ghorbani - Chemosphere, 2024 - Elsevier
In the present research, extraction of silica (SiO 2) from rice husk (RH) was optimized and
silica nanoparticles (SNPs) was produced using it and functionalized by chitosan (CS) …

Analysis of vehicle pedestrian crash severity using advanced machine learning techniques

SU Arifeen, M Ali, E Macioszek - Archives of transport, 2023 - archivesoftransport.com
In 2015, over 17% of pedestrians were killed during vehicle crashes in Hong Kong while it
raised to 18% from 2017 to 2019 and expected to be 25% in the upcoming decade. In Hong …

Comparative study of eco-friendly wire mesh configurations to enhance sustainability in reinforced concrete structures

M Mebrahtom, Y Fissha, M Ali, A Gebretsadik, Y Kide… - Scientific Reports, 2024 - nature.com
Recent and past studies mainly focus on reducing the dead weight of structure; therefore,
they considered lightweight aggregate concrete (LWAC) which reduces the dead weight but …

[HTML][HTML] Prediction of Ultra-High-Performance Concrete (UHPC) Properties Using Gene Expression Programming (GEP)

Y Qian, J Yang, W Yang, AH Alateah, A Alsubeai… - Buildings, 2024 - mdpi.com
In today's digital age, innovative artificial intelligence (AI) methodologies, notably machine
learning (ML) approaches, are increasingly favored for their superior accuracy in …

[HTML][HTML] Structure formation, rheology and properties of sulfur concrete mixtures and sulfur concrete modified with bitumen and stone flour

AN Beskopylny, SA Stel'makh, EM Shcherban… - Case Studies in …, 2024 - Elsevier
The development and improvement of cementless concrete, including by use of various
types of refuse, is especially important due to their economic and environmental efficiency …

Synergistic effects of Bacillus subtilis and PET fiber additions on the mechanical properties of alkali-activated composite mortars

A Filazi - Materials Letters, 2024 - Elsevier
This study investigates the impact of Bacillus subtilis and PET fiber additions on the
mechanical properties of alkali-activated composite mortars (AACMs). Blast furnace slag …