[HTML][HTML] Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder
Sustainable development might be promoted if waste eggshells are used in cement-based
materials (CBMs) by decreasing waste disposal problems, CO 2 emissions, and material …
materials (CBMs) by decreasing waste disposal problems, CO 2 emissions, and material …
Concrete strength prediction using machine learning methods CatBoost, k-nearest neighbors, support vector regression
AN Beskopylny, SA Stel'makh, EM Shcherban'… - Applied Sciences, 2022 - mdpi.com
Currently, one of the topical areas of application of machine learning methods in the
construction industry is the prediction of the mechanical properties of various building …
construction industry is the prediction of the mechanical properties of various building …
Evaluating the strength and impact of raw ingredients of cement mortar incorporating waste glass powder using machine learning and SHapley additive ExPlanations …
This research employed machine learning (ML) and SHapley Additive ExPlanations (SHAP)
methods to assess the strength and impact of raw ingredients of cement mortar (CM) …
methods to assess the strength and impact of raw ingredients of cement mortar (CM) …
Machine learning approach for predicting concrete compressive, splitting tensile, and flexural strength with waste foundry sand
V Mehta - Journal of Building Engineering, 2023 - Elsevier
The scarcity of landfilling and the growing expense of disposal, recycling, and reusing
industrial byproducts have become attractive alternatives to removal. There are several sorts …
industrial byproducts have become attractive alternatives to removal. There are several sorts …
Strength evaluation of eco-friendly waste-derived self-compacting concrete via interpretable genetic-based machine learning models
Artificial intelligence methods like machine learning (ML) are cutting-edge methods for
evaluating the material attributes and impact of influencing parameters, thereby eliminating …
evaluating the material attributes and impact of influencing parameters, thereby eliminating …
[HTML][HTML] Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models
The construction sector is a major contributor to global greenhouse gas emissions. Using
recycled and waste materials in concrete is a practical solution to address environmental …
recycled and waste materials in concrete is a practical solution to address environmental …
Prediction of mechanical properties of highly functional lightweight fiber-reinforced concrete based on deep neural network and ensemble regression trees methods
SA Stel'makh, EM Shcherban', AN Beskopylny… - Materials, 2022 - mdpi.com
Currently, one of the topical areas of application of artificial intelligence methods in industrial
production is neural networks, which allow for predicting the performance properties of …
production is neural networks, which allow for predicting the performance properties of …
[HTML][HTML] Prediction of compressive strength of two-stage (preplaced aggregate) concrete using gene expression programming and random forest
The aim of this research is to predict preplaced-aggregate concrete (PAC) compressive
strength (CS) by using machine learning approaches such as gene expression …
strength (CS) by using machine learning approaches such as gene expression …
Prediction of the compressive strength of vibrocentrifuged concrete using machine learning methods
AN Beskopylny, SA Stel'makh, EM Shcherban'… - Buildings, 2024 - mdpi.com
The determination of mechanical properties for different building materials is a highly
relevant and practical field of application for machine learning (ML) techniques within the …
relevant and practical field of application for machine learning (ML) techniques within the …
Machine learning techniques to evaluate the ultrasonic pulse velocity of hybrid fiber-reinforced concrete modified with nano-silica
It is evident that preparing materials, casting samples, curing, and testing all need time and
money. The construction sector will benefit if these problems can be handled using cutting …
money. The construction sector will benefit if these problems can be handled using cutting …