Estimating compressive strength of modern concrete mixtures using computational intelligence: A systematic review
The mixture proportioning of conventional concrete is commonly established using
regression analysis of experimental data. However, such traditional empirical procedures …
regression analysis of experimental data. However, such traditional empirical procedures …
Estimating compressive strength of concrete using neural electromagnetic field optimization
Concrete compressive strength (CCS) is among the most important mechanical
characteristics of this widely used material. This study develops a novel integrative method …
characteristics of this widely used material. This study develops a novel integrative method …
Gene expression programming (GEP) modelling of sustainable building materials including mineral admixtures for novel solutions
In this study, the employment of the gene expression programming (GEP) technique in
forecasting models on sustainable construction materials including mineral admixtures and …
forecasting models on sustainable construction materials including mineral admixtures and …
Mapping the strength of agro-ecological lightweight concrete containing oil palm by-product using artificial intelligence techniques
A Ashrafian, E Panahi, S Salehi, M Karoglou… - Structures, 2023 - Elsevier
The critical challenge for the cement production industry is the high emission of greenhouse
gases. For the sustainability in a cycling economy context civil and environmental engineers …
gases. For the sustainability in a cycling economy context civil and environmental engineers …
Development of novel design strength model for sustainable concrete columns: A new machine learning-based approach
Billions of tons of construction and demolition (C&D) waste generation is causing global
environmental crises. The application of C&D waste in concrete columns is a sustainable …
environmental crises. The application of C&D waste in concrete columns is a sustainable …
A novel hybrid adaptive boosting approach for evaluating properties of sustainable materials: A case of concrete containing waste foundry sand
Ensemble learning (EL) has gained popularity in recent investigations because of its higher
prediction accuracy than conventional machine learning (ML) methods. Regressors and EL …
prediction accuracy than conventional machine learning (ML) methods. Regressors and EL …
Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches
Water quality indexes (WQI) are pivotal in assessing aquatic systems. Conventional
modeling approaches rely on extensive datasets with numerous unspecified inputs, leading …
modeling approaches rely on extensive datasets with numerous unspecified inputs, leading …
Supplementary cementitious materials in blended cement concrete: Advancements in predicting compressive strength through machine learning
The increasing utilization of Portland cement raises environmental concerns. Thus, leading
to the exploration of supplementary cementitious materials (SCMs) as alternatives to use in …
to the exploration of supplementary cementitious materials (SCMs) as alternatives to use in …
Development of a novel compressive strength design equation for natural and recycled aggregate concrete through advanced computational modeling
Owing to the variations in the recycled coarse aggregates (RCA) characteristics, the
compressive strength prediction of recycled aggregate concrete (RAC) is a complex …
compressive strength prediction of recycled aggregate concrete (RAC) is a complex …
Green mix design of rubbercrete using machine learning-based ensemble model and constrained multi-objective optimization
Although the use of waste rubber (WR) in concrete can alleviate some negatives effect on
sustainability, it can decrease the compressive strength (CS) of the produced rubbercrete …
sustainability, it can decrease the compressive strength (CS) of the produced rubbercrete …