Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives

NF Alkayem, L Shen, A Mayya, PG Asteris, R Fu… - Journal of Building …, 2023 - Elsevier
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …

Ultrasonic testing on evaluation of concrete residual compressive strength: A review

MA do Nascimento Moura, ALM Júnior… - … and Building Materials, 2023 - Elsevier
Residual mechanical strength is a necessary parameter in any diagnosis of recovering
structures after fire. Even though concrete is a material traditionally resistant to high …

Prediction of compressive strength of geopolymer concrete using a hybrid ensemble of grey wolf optimized machine learning estimators

SK Parhi, SK Patro - Journal of Building Engineering, 2023 - Elsevier
Geopolymer concrete (GPC) has the potential to replace conventional concrete. But, the
mixed proportion of GPC poses several difficulties due to various contributing factors. The …

Prediction of mechanical properties of recycled aggregate fly ash concrete employing machine learning algorithms

M Hosseinzadeh, M Dehestani… - Journal of Building …, 2023 - Elsevier
This paper investigates the mechanical properties of concrete containing recycled
aggregates and fly ash as a sustainable and eco-friendly solution for construction, which can …

[HTML][HTML] Evaluation of properties of bio-composite with interpretable machine learning approaches: optimization and hyper tuning

G Xu, G Zhou, F Althoey, HM Hadidi, A Alaskar… - Journal of Materials …, 2023 - Elsevier
Hemp bio-composite (HBC) is a sustainable material that can be considered as a “carbon
negative” or “better-than-zero-carbon” because it absorbs more carbon from its surrounding …

Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and …

N Sathiparan, P Jeyananthan - Nondestructive Testing and …, 2024 - Taylor & Francis
The quality monitoring technique for Cement stabilised earth blocks (CSEBs) is so
challenging that it is often neglected. This study has investigated the possibility of using …

Vibration quality evaluation of reinforced concrete using energy transfer model

J Li, Z Tian, X Yu, J Xiang, H Fan - Construction and Building Materials, 2023 - Elsevier
Vibration is an important step to ensure the compactness of reinforced concrete. In this
study, the energy transfer model is firstly proposed based on the working mechanism of the …

Research status and future directions of defect detection in grouted splice sleeves: A review

J Liu, D Li, X Cui - Construction and Building Materials, 2023 - Elsevier
At present, grouted splice sleeves are widely used in assembly-type building connections
due to their exceptional structural performance. However, various grout defects may arise …

[HTML][HTML] Prediction of compressive strength of two-stage (preplaced aggregate) concrete using gene expression programming and random forest

HJ Qureshi, M Alyami, R Nawaz, IY Hakeem… - Case Studies in …, 2023 - Elsevier
The aim of this research is to predict preplaced-aggregate concrete (PAC) compressive
strength (CS) by using machine learning approaches such as gene expression …

Predictive models in machine learning for strength and life cycle assessment of concrete structures

A Dinesh, BR Prasad - Automation in Construction, 2024 - Elsevier
The integration of emerging technologies into the construction industry is crucial for the
successful execution of technologically sophisticated initiatives. Multiple disciplines of …