Fiber-reinforced recycled aggregate concrete with crumb rubber: A state-of-the-art review
The growing population demands rapid development of infrastructures. However, the
construction industry is searching for environmentally sustainable and eco-friendly building …
construction industry is searching for environmentally sustainable and eco-friendly building …
Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete
Colossal amounts of construction and demolition waste (C&D) and waste tires have become
a considerable global environmental concern. To alleviate this issue, it is proposed to use …
a considerable global environmental concern. To alleviate this issue, it is proposed to use …
[HTML][HTML] Shear performance of reinforced expansive concrete beams utilizing aluminium waste
Shear damage is a catastrophic failure in the design of reinforced concrete structural
elements. To prevent it, the effect of aluminum wastes on reinforced concrete shear beams …
elements. To prevent it, the effect of aluminum wastes on reinforced concrete shear beams …
Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend
R Kazemi - Engineering Reports, 2023 - Wiley Online Library
Advanced concrete technology is the science of efficient, cost‐effective, and safe design in
civil engineering projects. Engineers and concrete designers are generally faced with the …
civil engineering projects. Engineers and concrete designers are generally faced with the …
Evaluation of geopolymer concrete at high temperatures: An experimental study using machine learning
M Rahmati, V Toufigh - Journal of Cleaner Production, 2022 - Elsevier
Studying the mechanical performance of concrete after being exposed to high temperatures
is an important step in the damage assessment of buildings and fire safety applications …
is an important step in the damage assessment of buildings and fire safety applications …
Forecasting the mechanical properties of plastic concrete employing experimental data using machine learning algorithms: DT, MLPNN, SVM, and RF
Increased population necessitates an expansion of infrastructure and urbanization, resulting
in growth in the construction industry. A rise in population also results in an increased plastic …
in growth in the construction industry. A rise in population also results in an increased plastic …
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 …
[HTML][HTML] Concrete compressive strength prediction using an explainable boosting machine model
G Liu, B Sun - Case Studies in Construction Materials, 2023 - Elsevier
The mixing ratio of the raw materials has a significant impact on concrete compressive
strength. Although the compressive strength of concrete can be inferred from the mix ratio, it …
strength. Although the compressive strength of concrete can be inferred from the mix ratio, it …
[HTML][HTML] Evaluating the relevance of eggshell and glass powder for cement-based materials using machine learning and SHapley Additive exPlanations (SHAP) …
This study used machine learning methods to predict the water absorption (WA) of cement-
based material (CBM) containing eggshell and glass powder as sand and cement …
based material (CBM) containing eggshell and glass powder as sand and cement …
[HTML][HTML] A hybrid strategy of AutoML and SHAP for automated and explainable concrete strength prediction
B Sun, W Cui, G Liu, B Zhou, W Zhao - Case Studies in Construction …, 2023 - Elsevier
The precise prediction of concrete compressive strength is essential for ensuring safe and
reliable infrastructure design and construction. However, traditional empirical models often …
reliable infrastructure design and construction. However, traditional empirical models often …