Enhancing Waste Marble Concrete Strength Prediction with AI

Utilizing AI methods, this research predicts the compressive strength of waste marble concrete, offering a cost-effective alternative to ...

An AI-driven approach for modeling the compressive strength of ...

As an industrial by-product, Waste marble (WM), has the potential to replace cement and fine aggregate in concrete which helps with saving ...

AI-Powered Models in Concrete Strength Prediction: A Sustainable ...

The construction industry's focus on sustainability has driven innovations like using artificial intelligence (AI) to predict concrete ...

Boosting Concrete Strength with AI Models - MSN

AI techniques, including ANN and hybrid models, effectively predict the compressive strength of waste marble concrete, enhancing ...

(PDF) An AI-driven approach for modeling the compressive strength ...

As an industrial by-product, Waste marble (WM), has the potential to replace cement and fine aggregate in concrete which helps with saving ...

Enhancing compressive strength prediction in self-compacting ...

The research further evaluates material characteristics, with a strong emphasis on ML and DL for CS prediction. Concrete samples with various mixed ratios were ...

Machine Learning Techniques for Evaluating Concrete Strength with ...

The purpose of the research is to predict the compressive and flexural strengths of the concrete mix by using waste marble powder as a ...

Predicting the Compressive Strength of Concrete with Waste ... - ijrpr

the compressive strength of concrete filled with different formulations of marble powder Role in the potential of artificial intelligence The compressive.

Machine learning-based compressive strength modelling of ...

Compressive strength prediction of concrete containing waste marble powder (WMP) · Analyzing the contribution of ingredients in compressive ...

Machine learning algorithms for evaluating concrete strength using ...

Six parameters were used to predict concrete compressive strength: cement, fine and coarse aggregate, water-to-cement ratio, waste marble powder ...

Machine learning algorithms for evaluating concrete strength using ...

Six parameters were used to predict concrete compressive strength: cement, fine and coarse aggregate, water-to-cement ratio, waste marble powder, and curing ...

Machine Learning Techniques for Evaluating Concrete ...

... predicting the compressive strength of concrete using waste marble powder. ... AI training, and similar technologies. For all open access ...

Compressive strength of waste-derived cementitious composites ...

According to the sensitivity analysis, the prediction of CS was most affected by curing age and MC content, then by FA and RHA contents.

Compressive Strength Estimation of Waste Marble Powder ... - MDPI

A tremendous volumetric increase in waste marble powder as industrial waste has recently resulted in high environmental concerns of water, ...

A hybrid artificial intelligence approach for modeling the carbonation ...

In recent years, utilizing AI techniques has been considered a promising approach for modeling concrete properties18,19,20,21,22,23. AI ...

Exploring the Use of Waste Marble Powder in Concrete and ...

The effectiveness of marble in concrete is assessed by comparing the compressive strength with the plain mix. Supervised machine learning ...

Machine Learning Modelling for Compressive Strength Prediction of ...

Due to the system's complexity, predicting concrete's compressive strength can be difficult. In this study, a prediction model for the ...

Using Neural Networks to Predict the Strength of Waste-Based ...

The researchers examined the effectiveness of ANN modeling in foretelling concrete qualities. The goal was to create and implement artificial ...

Application of machine learning in predicting mechanical properties ...

It underscores how ML can enhance accuracy in predicting mechanical properties, providing a valuable tool for engineers and researchers to ...

Machine Learning Modeling Integrating Experimental Analysis for ...

A significant application of ML in civil engineering is the prediction of compressive strength (CS) in concrete [4]. The CS of concrete, a ...