Recycling solid waste to produce eco-friendly ultra-high performance concrete: A review of durability, microstructure and environment characteristics
Recycling waste materials (WMs) is a cost-effective method for saving natural resources,
protecting the environment, and reducing the use of high-carbon raw materials. This review …
protecting the environment, and reducing the use of high-carbon raw materials. This review …
Comparative study of advanced computational techniques for estimating the compressive strength of UHPC
The effect of raw materials on the compressive strength of concrete is a complex process,
especially in the case of ultra-high-performance concrete (UHPC), where a higher number of …
especially in the case of ultra-high-performance concrete (UHPC), where a higher number of …
Predicting compressive strength of eco-friendly plastic sand paver blocks using gene expression and artificial intelligence programming
Plastic sand paver blocks provide a sustainable alternative by using plastic waste and
reducing the need for cement. This innovative approach leads to a more sustainable …
reducing the need for cement. This innovative approach leads to a more sustainable …
Developing a sustainable concrete incorporating bentonite clay and silica fume: Mechanical and durability performance
The use of supplementary cementitious materials (SCMs) can improve the properties of
concrete, reduce pressure on natural resources and CO 2 emissions. However, certain …
concrete, reduce pressure on natural resources and CO 2 emissions. However, certain …
Predicting the compaction characteristics of expansive soils using two genetic programming-based algorithms
In this study, gene expression programming (GEP) and multi gene expression programming
(MEP) are utilized to formulate new prediction models for determining the compaction …
(MEP) are utilized to formulate new prediction models for determining the compaction …
Effects of waste powder, fine and coarse marble aggregates on concrete compressive strength
The use of marble wastes in concrete mixtures, causing air and water pollution, has been
promoted in the academic and practical spheres of the construction industry. Although the …
promoted in the academic and practical spheres of the construction industry. Although the …
Progress and research challenges in concrete durability: ionic transport, electrochemical rehabilitation and service life prediction
Q Liu - RILEM Technical Letters, 2022 - letters.rilem.net
Concrete durability degradation problems have received considerable attention in both
research field and concrete industry during recent decades. To better understand the …
research field and concrete industry during recent decades. To better understand the …
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 …
New prediction models for the compressive strength and dry-thermal conductivity of bio-composites using novel machine learning algorithms
Bio-composites have become the prime material selection for green concrete because of the
increasing awareness of environmental issues. Due to their highly heterogenous nature …
increasing awareness of environmental issues. Due to their highly heterogenous nature …
[HTML][HTML] Machine learning interpretable-prediction models to evaluate the slump and strength of fly ash-based geopolymer
This study used three artificial intelligence-based algorithms–adaptive neuro-fuzzy inference
system (ANFIS), artificial neural networks (ANNs), and gene expression programming (GEP) …
system (ANFIS), artificial neural networks (ANNs), and gene expression programming (GEP) …