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 …, 2024 - Elsevier
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …

Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review

F Kazemi, T Shafighfard, DY Yoo - Archives of Computational Methods in …, 2024 - Springer
Fiber-reinforced concrete (FRC) is extensively used in diverse structural engineering
applications, and its mechanical properties are crucial for designing and evaluating its …

[HTML][HTML] Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning …

T Shafighfard, F Bagherzadeh, RA Rizi… - Journal of materials …, 2022 - Elsevier
Experimental studies using a substantial number of datasets can be avoided by employing
efficient methods to predict the mechanical properties of construction materials. The …

Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack …

K Sarkar, A Shiuly, KG Dhal - Construction and Building Materials, 2024 - Elsevier
Over the last two decades, the integration of big data and deep learning technologies has
demonstrated remarkable effectiveness across various domains of civil engineering, leading …

Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0

XQ Wang, P Chen, CL Chow, D Lau - Matter, 2023 - cell.com
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …

[HTML][HTML] Machine learning-driven predictive models for compressive strength of steel fiber reinforced concrete subjected to high temperatures

R Alyousef, MF Rehman, M Khan, M Fawad… - Case Studies in …, 2023 - Elsevier
Steel-fiber-reinforced concrete (SFRC) has emerged as a viable and efficient substitute for
traditional concrete in the construction industry. By incorporating steel fibers into the …

Towards sustainable construction: Machine learning based predictive models for strength and durability characteristics of blended cement concrete

M Khan, MF Javed - Materials Today Communications, 2023 - Elsevier
Supplementary cementitious materials (SCMs) are widely utilized in concrete mixtures,
either substituting a part of the cement content or replacing a portion of clinker in cement …

Comparison of various machine learning algorithms used for compressive strength prediction of steel fiber-reinforced concrete

SS Pakzad, N Roshan, M Ghalehnovi - Scientific Reports, 2023 - nature.com
Adding hooked industrial steel fibers (ISF) to concrete boosts its tensile and flexural strength.
However, the understanding of ISF's influence on the compressive strength (CS) behavior of …

Application of artificial intelligence in predicting the residual mechanical properties of fiber reinforced concrete (FRC) after high temperatures

V Farhangi, MJ Moradi, K Daneshvar… - Construction and Building …, 2024 - Elsevier
The practical application of Artificial Intelligence (AI) approaches in estimating the
mechanical properties of fiber-reinforced concrete (FRC) subjected to high temperatures …

Develo** green and sustainable concrete in integrating with different urban wastes

H Chen, CL Chow, D Lau - Journal of Cleaner Production, 2022 - Elsevier
Urban waste accumulation has changed the landscape of cities through environmental
pollution. This detrimental change is pushing the development of advanced and green …