[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 …

Hyper-tuning gene expression programming to develop interpretable prediction models for the strength of corncob ash-modified geopolymer concrete

J Zhou, Q Tian, S Nazar, J Huang - Materials Today Communications, 2024 - Elsevier
Geopolymer concrete has been offered as an alternative to traditional concrete due to the
environmental consequences of cement manufacture. It is also unable to make adjustments …

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 …

Metaheuristic optimization of machine learning models for strength prediction of high-performance self-compacting alkali-activated slag concrete

SK Parhi, S Panda, S Dwibedy… - … Modeling, Experiments and …, 2024 - Springer
The present study focuses on producing high-performance eco-efficient alternatives to
conventional cement-based composites. The study is divided into two parts. The first part …

Optimizing compressive strength prediction in eco-friendly recycled concrete via artificial intelligence models

L Chen, Y Nouri, N Allahyarsharahi… - … Experiments and Design, 2025 - Springer
The use of recycled coarse aggregates (RCA) in concrete is currently recognized for its
positive impact on reducing environmental hazards and promoting sustainable …

Compressive strength of waste-derived cementitious composites using machine learning

Q Tian, Y Lu, J Zhou, S Song, L Yang… - Reviews on Advanced …, 2024 - degruyter.com
Marble cement (MC) is a new binding material for concrete, and the strength assessment of
the resulting materials is the subject of this investigation. MC was tested in combination with …

[HTML][HTML] Advanced Predictive Modeling of Concrete Compressive Strength and Slump Characteristics: A Comparative Evaluation of BPNN, SVM, and RF Models …

X Chen, X Zhang, WZ Chen - Materials, 2024 - mdpi.com
This study presents the development of predictive models for concrete performance,
specifically targeting the compressive strength and slump value, utilizing the quantities of …

Application of machine learning boosting and bagging methods to predict compressive and flexural strength of marble cement mortar

Z Chen - Materials Today Communications, 2024 - Elsevier
Compressive (CS) and flexural strength (FS) of sustainable mortar made from waste
materials were estimated using machine learning (ML) tools. Ensemble ML techniques …

Prediction and modeling of mechanical properties of concrete modified with ceramic waste using artificial neural network and regression model

PR Kshirsagar, K Upreti, VS Kushwah… - Signal, Image and Video …, 2024 - Springer
Over two centuries, concrete has been crucial to building. Thus, eco-friendly concrete is
being developed. Emulating these tangible traits has recently gained popularity. Ceramic …

Fresh state and strength performance evaluation of slag-based alkali-activated concrete using soft-computing methods

Y Li, G Wang, MN Amin, B Iftikhar, Y Dodo… - Materials Today …, 2024 - Elsevier
In this study, machine learning prediction models for the slump (SL) and compressive
strength (CS) of alkali-activated concrete (AAC) were developed. Extreme gradient boosting …