Artificial intelligence algorithms for prediction and sensitivity analysis of mechanical properties of recycled aggregate concrete: A review
Using recycled aggregates generated from demolition waste for concrete production is a
promissory option to reduce the environmental footprint of the built environment. However …
promissory option to reduce the environmental footprint of the built environment. However …
Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review
S Wang, P Xia, K Chen, F Gong, H Wang… - Journal of Building …, 2023 - Elsevier
Among the many sustainability challenges in the construction industry, those related to the
application of concrete and its components are the most critical. Particularly, the production …
application of concrete and its components are the most critical. Particularly, the production …
[HTML][HTML] Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric …
The construction industry is making efforts to reduce the environmental impact of cement
production in concrete by incorporating alternative and supplementary cementitious …
production in concrete by incorporating alternative and supplementary cementitious …
Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms
This study aims to develop several novel machine learning (ML) evolutionary algorithms for
the prediction of small strain shear modulus (G max) of clean sands and sand-fines binary …
the prediction of small strain shear modulus (G max) of clean sands and sand-fines binary …
[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 …
Mixed artificial intelligence models for compressive strength prediction and analysis of fly ash concrete
W Liang, W Yin, Y Zhong, Q Tao, K Li, Z Zhu… - … in Engineering Software, 2023 - Elsevier
The construction industry is facing challenges from the hazardous nature of Ordinary
Portland Cement (OPC) production as one of the main contributors to global warming and …
Portland Cement (OPC) production as one of the main contributors to global warming and …
Compressive strength prediction of rice husk ash concrete using a hybrid artificial neural network model
The combination of rice husk ash and common concrete both reduces carbon dioxide
emission and solves the problem of agricultural waste disposal. However, the measurement …
emission and solves the problem of agricultural waste disposal. However, the measurement …
Optimized prediction models for faulting failure of Jointed Plain concrete pavement using the metaheuristic optimization algorithms
This study aims to predict faulting failure of jointed plain concrete pavement (JPCP) using
different variables. For this purpose, four feature selection methods were developed by …
different variables. For this purpose, four feature selection methods were developed by …
Three-level evaluation method of cumulative slope deformation hybrid machine learning models and interpretability analysis
Z Deng, K Xie, Q Su, L Xu, Z Hao, X Xiao - Construction and Building …, 2023 - Elsevier
The study aims to address the issues of limited evaluation metrics and low visualization for
Machine Learning (ML) models in Cumulative Slope Deformation (CSD) prediction. Firstly …
Machine Learning (ML) models in Cumulative Slope Deformation (CSD) prediction. Firstly …
Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization‐based hybrid artificial neural network
R Kazemi, EM Golafshani, A Behnood - Structural Concrete, 2024 - Wiley Online Library
This study seeks to present a sophisticated artificial intelligence (AI) framework to model the
compressive strength (fc′) of concrete containing waste foundry sand (WFS), with the aim …
compressive strength (fc′) of concrete containing waste foundry sand (WFS), with the aim …