Prediction of mechanical properties of green concrete incorporating waste foundry sand based on gene expression programming
Waste foundry sand (WFS) is a major pollutant generated from metal casting foundries and
is classified as a hazardous material due to the presence of organic and inorganic pollutants …
is classified as a hazardous material due to the presence of organic and inorganic pollutants …
Sustainable use of chemically modified tyre rubber in concrete: Machine learning based novel predictive model
To encourage the consumption of crumb rubber (CR), gene expression programming (GEP)
has been exercised in this paper to establish empirical models for estimation of mechanical …
has been exercised in this paper to establish empirical models for estimation of mechanical …
Modified particle packing approach for optimizing waste marble powder as a cement substitute in high-performance concrete
This study explores the potential of utilizing waste marble powder (WMP) instead of cement
to develop environmentally friendly high-performance concrete (Eco-HPC). It assesses Eco …
to develop environmentally friendly high-performance concrete (Eco-HPC). It assesses Eco …
Applications of gene expression programming and regression techniques for estimating compressive strength of bagasse ash based concrete
MF Javed, MN Amin, MI Shah, K Khan, B Iftikhar… - Crystals, 2020 - mdpi.com
Compressive strength is one of the important property of concrete and depends on many
factors. Most of the concrete compressive strength predictive models mainly rely on …
factors. Most of the concrete compressive strength predictive models mainly rely on …
Computational AI prediction models for residual tensile strength of GFRP bars aged in the alkaline concrete environment
Based on a comprehensive literature study, the potential variables that can affect the
durability of GFRP bars under a harsh alkaline environment especially seawater and sea …
durability of GFRP bars under a harsh alkaline environment especially seawater and sea …
New prediction models for the compressive strength and dry-thermal conductivity of bio-composites using novel machine learning algorithms
MA Khan, F Aslam, MF Javed, H Alabduljabbar… - Journal of Cleaner …, 2022 - Elsevier
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 …
Linear and non-linear SVM prediction for fresh properties and compressive strength of high volume fly ash self-compacting concrete
M Azimi-Pour, H Eskandari-Naddaf… - Construction and Building …, 2020 - Elsevier
Support vector machines (SVMs) have recently been used to model the properties of low
volume fly ash self-compacting concrete (LVF-SCC) by means of kernel functions to …
volume fly ash self-compacting concrete (LVF-SCC) by means of kernel functions to …
Post-fire compressive strength of recycled PET aggregate concrete reinforced with steel fibers: Optimization and prediction via RSM and GEP
M Nematzadeh, AA Shahmansouri, M Fakoor - Construction and Building …, 2020 - Elsevier
A major environmental challenge facing metropolitan areas is recycling and removing waste
plastic materials including PET from the environment. On one hand, using waste materials …
plastic materials including PET from the environment. On one hand, using waste materials …
[HTML][HTML] Predicting ultra-high-performance concrete compressive strength using gene expression programming method
H Alabduljabbar, M Khan, HH Awan, SM Eldin… - Case Studies in …, 2023 - Elsevier
There have been extensive experimental studies available on the composition and
characteristics of Ultra-High-Performance concrete (UHPC). However, the relation between …
characteristics of Ultra-High-Performance concrete (UHPC). However, the relation between …
Compressive strength of Foamed Cellular Lightweight Concrete simulation: New development of hybrid artificial intelligence model
A Ashrafian, F Shokri, MJT Amiri, ZM Yaseen… - … and Building Materials, 2020 - Elsevier
Accurate prediction of compressive strength (fc) is one of the crucial problems in the
concrete industry. In this study, novel self-adaptive and formula-based model called …
concrete industry. In this study, novel self-adaptive and formula-based model called …