Fiber-reinforced recycled aggregate concrete with crumb rubber: A state-of-the-art review

M Shahjalal, K Islam, F Batool, M Tiznobaik… - … and Building Materials, 2023 - Elsevier
The growing population demands rapid development of infrastructures. However, the
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

C Cakiroglu, M Shahjalal, K Islam… - Journal of Building …, 2023 - Elsevier
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 …

[HTML][HTML] Shear performance of reinforced expansive concrete beams utilizing aluminium waste

YO Özkılıç, M Karalar, C Aksoylu… - journal of materials …, 2023 - Elsevier
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 …

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 …

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 …

Forecasting the mechanical properties of plastic concrete employing experimental data using machine learning algorithms: DT, MLPNN, SVM, and RF

A Nafees, S Khan, MF Javed, R Alrowais… - Polymers, 2022 - mdpi.com
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 …

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 …

[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 …

[HTML][HTML] Evaluating the relevance of eggshell and glass powder for cement-based materials using machine learning and SHapley Additive exPlanations (SHAP) …

MN Amin, W Ahmad, K Khan, S Nazar… - Case Studies in …, 2023 - Elsevier
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 …

[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 …