A systematic review of the research development on the application of machine learning for concrete

K Khan, W Ahmad, MN Amin, A Ahmad - Materials, 2022 - mdpi.com
Research on the applications of new techniques such as machine learning is advancing
rapidly. Machine learning methods are being employed to predict the characteristics of …

Implementation of alternative mineral additives in low-emission sustainable cement composites

E Kapeluszna, W Szudek, P Wolka, A Zieliński - Materials, 2021 - mdpi.com
The influence of four naturally occurring mineral additives (zeolite, diatomite, trass and
bentonite) on the hydration and properties of cement pastes and mortars was investigated …

[HTML][HTML] An alternative approach to protect micro-cracked reinforced concrete under a marine environment

C Thongchom, PK Sanit-in, W Tangchirapat… - Case Studies in …, 2024 - Elsevier
This research aimed to establish prevention guidelines and mitigate the effects of chloride
penetration in micro-cracked concrete by enhancing the quality of additive materials or fly …

[PDF][PDF] Effect of Temperature on the Self-Healing Efficiency of Bacteria and on that of Fly Ash in Concrete

MW Njau, J Mwero, Z Abiero-Gariy… - International Journal of …, 2022 - researchgate.net
Self-healing is a technique used to repair cracks in concrete autogenously or autonomously.
Several investigations have been conducted to improve the self-healing efficiency, which …

A Bibliometric Review Approach to the Ultrasonic Pulse Velocity and Compressive Strength

H Lotfi - Journal of Materials Science Research and …, 2023 - library.eprintglobalarchived.com
Bibliometric analysis is an interesting statistical tool for studying the state of the art in any
field of scientific knowledge and identifying the information needed for various purposes …

[PDF][PDF] A Systematic Review of the Research Development on the Application of Machine Learning for Concrete. Materials 2022, 15, 4512

K Khan, W Ahmad, MN Amin, A Ahmad - 2022 - academia.edu
Research on the applications of new techniques such as machine learning is advancing
rapidly. Machine learning methods are being employed to predict the characteristics of …