Efficient compressive strength prediction of concrete incorporating recycled coarse aggregate using Newton's boosted backpropagation neural network (NB-BPNN)
This study advances the field of concrete compressive strength prediction by introducing an
innovative approach incorporating recycled coarse aggregates and the Newton's Boosted …
innovative approach incorporating recycled coarse aggregates and the Newton's Boosted …
Advances in Modeling Surface Chloride Concentrations in Concrete Serving in the Marine Environment: A Mini Review
R Zhao, C Li, X Guan - Buildings, 2024 - mdpi.com
Chloride corrosion is a key factor affecting the life of marine concrete, and surface chloride
concentration is the main parameter for analyzing its durability. In this paper, we first …
concentration is the main parameter for analyzing its durability. In this paper, we first …
Data-driven machine learning approaches for predicting permeability and corrosion risk in hybrid concrete incorporating blast furnace slag and fly ash
This study aims to identify the most suitable machine learning model for predicting the
permeability and half-cell potentiometer test readings of hybrid concrete containing varying …
permeability and half-cell potentiometer test readings of hybrid concrete containing varying …
Machine learning-based prediction of concrete strength properties with coconut shell as partial aggregate replacement: A sustainable approach in construction …
This study investigates the application of machine learning (ML) models to predict the
compressive, flexural, and split tensile strength of concrete incorporating coconut shell as a …
compressive, flexural, and split tensile strength of concrete incorporating coconut shell as a …
Optimizing compressive strength in sustainable concrete: a machine learning approach with iron waste integration
The current research delves into enhancing the sustainability of construction materials by
incorporating iron waste into concrete mixtures. The primary aim revolves around predicting …
incorporating iron waste into concrete mixtures. The primary aim revolves around predicting …