Novel machine learning applications on fly ash based concrete: an overview
A machine learning technique provides rapid access to various information models,
approaches, complex systems, and algorithms. In the present scenario the artificial neural …
approaches, complex systems, and algorithms. In the present scenario the artificial neural …
Nano-silica-modified concrete: A bibliographic analysis and comprehensive review of material properties
Several review studies have been performed on nano-silica-modified concrete, but this
study adopted a new method based on scientometric analysis for the keywords' assessment …
study adopted a new method based on scientometric analysis for the keywords' assessment …
Predictive modeling for sustainable high-performance concrete from industrial wastes: A comparison and optimization of models using ensemble learners
The cementitious matrix of high-performance concrete (HPC) is highly complex, and
ambiguity exists with its mix design. Compressive strength can vary with the composition …
ambiguity exists with its mix design. Compressive strength can vary with the composition …
Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach
DC Feng, ZT Liu, XD Wang, Y Chen, JQ Chang… - … and Building Materials, 2020 - Elsevier
In this paper, an intelligent approach based on the machine learning technique is proposed
for predicting the compressive strength of concrete. This approach employs the adaptive …
for predicting the compressive strength of concrete. This approach employs the adaptive …
Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
The growing concern about global climate change and its adverse impacts on societies is
putting severe pressure on the construction industry as one of the largest producers of …
putting severe pressure on the construction industry as one of the largest producers of …
Predicting compressive strength of manufactured-sand concrete using conventional and metaheuristic-tuned artificial neural network
Compressive strength (CS) is the maximum resistance of concrete against axial
compressive loading in standard conditions. Estimation of this parameter is essential for the …
compressive loading in standard conditions. Estimation of this parameter is essential for the …
Fractionation of dyes/salts using loose nanofiltration membranes: Insight from machine learning prediction
Wastewater (WW) served as the crucial indicator for sustainable development, human
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
Estimation of rapid chloride permeability of SCC using hyperparameters optimized random forest models
DM Ge, LC Zhao, M Esmaeili-Falak - Journal of Sustainable …, 2023 - Taylor & Francis
Discovering concrete properties takes time, money, laboratory design, material preparation,
and testing with adequate equipment at the right ages. As a consequence, in the concrete …
and testing with adequate equipment at the right ages. As a consequence, in the concrete …
Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive …
Foamed concrete (FC) shows advantageous applications in civil engineering, such as
reduction in dead loads, contribution to energy conservation, or decrease the construction …
reduction in dead loads, contribution to energy conservation, or decrease the construction …
Micro-characterisation of alkali activated paste with fly ash-GGBS-metakaolin binder system with ambient setting characteristics
The study reports properties of a stable and high strength ternary binder matrix using Fly Ash
(FA), Ground Granulated Blast Furnace Slag (GGBS), and Metakaolin (MK). The bulk of the …
(FA), Ground Granulated Blast Furnace Slag (GGBS), and Metakaolin (MK). The bulk of the …