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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 …
original properties. High temperatures substantially affect the concrete physical and …
Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review
Fiber-reinforced concrete (FRC) is extensively used in diverse structural engineering
applications, and its mechanical properties are crucial for designing and evaluating its …
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 …
Experimental studies using a substantial number of datasets can be avoided by employing
efficient methods to predict the mechanical properties of construction materials. The …
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 …
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 …
demonstrated remarkable effectiveness across various domains of civil engineering, leading …
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …
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
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 …
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
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 …
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
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 …
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
The practical application of Artificial Intelligence (AI) approaches in estimating the
mechanical properties of fiber-reinforced concrete (FRC) subjected to high temperatures …
mechanical properties of fiber-reinforced concrete (FRC) subjected to high temperatures …
Develo** green and sustainable concrete in integrating with different urban wastes
Urban waste accumulation has changed the landscape of cities through environmental
pollution. This detrimental change is pushing the development of advanced and green …
pollution. This detrimental change is pushing the development of advanced and green …