Dec 13, 2021 · This paper applies ensemble learning to predict porosity of high-performance concrete containing supplementary cementitious materials.
The objective of this study is to apply machine learning methods to empirically predict the porosity of high-performance concrete containing supplementary ...
The objective of this study is to apply machine learning methods to empirically predict the porosity of high-performance concrete containing supplementary ...
May 15, 2024 · In this research, machine learning (ML) algorithms were explored to predict the major phases of Portland cement blended with SCMs.
Aug 9, 2024 · This work employs machine learning (ML) to tackle the issue of strength degradation. The analysis considers ten distinct variables linked to concrete ...
An empirical prediction of the porosity of high-performance concrete with added cementitious elements is the goal of this work, which employs machine learning ...
This paper presents the use of soft computing techniques as ensemble machine learning (EML) models to predict the values of porosity with differing proportions ...
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Machine Learning-based Prediction of Porosity for Concrete Containing Supplementary Cementitious Materials · C. Cao. Engineering, Materials Science. Results in ...
Nov 1, 2024 · This research provided valuable insights into predicting SCM reactivity, emphasizing the potential of ML models for informed material selection ...
Khan, Predicting properties of high performance concrete containing composite cementitious materials using Artificial Neural Networks, Autom. Construct ...