Shielding performance of heavy-weight ultra-high-performance concrete against nuclear radiation
Heavy-weight conventional concretes are traditionally used for shielding against nuclear
radiations. However, mechanical properties and durability of conventional concrete are …
radiations. However, mechanical properties and durability of conventional concrete are …
Effect of aggregate and fibre types on ultra-high-performance concrete designed for radiation shielding
This research examines the properties of ultra-high-performance (UHPC) and heavyweight
radiation shielding concrete (UHPHSC). Several types of heavy-weight fine aggregates …
radiation shielding concrete (UHPHSC). Several types of heavy-weight fine aggregates …
[HTML][HTML] Using machine learning to predict the long-term performance of fibre-reinforced polymer structures: A state-of-the-art review
When exposed to environmental conditions, fibre-reinforced polymer (FRP) composites are
prone to material degradation. The environmental reduction factor in different structural …
prone to material degradation. The environmental reduction factor in different structural …
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 …
Effect of high temperatures on mechanical, radiation attenuation and microstructure properties of heavyweight geopolymer concrete
Heavyweight geopolymer concrete (HWGC) is a new concrete type that combines the
benefits of geopolymer concrete (GC) and heavyweight concrete. HWGC can be used to …
benefits of geopolymer concrete (GC) and heavyweight concrete. HWGC can be used to …
[HTML][HTML] Effect of nano ferrosilicon and heavyweight fine aggregates on the properties and radiation shielding of ultra-high performance heavyweight concrete
Minerals such as ilmenite and magnetite better absorb gamma rays compared with silica
aggregates because of their elevated densities. However, utilizing such minerals as key …
aggregates because of their elevated densities. However, utilizing such minerals as key …
[HTML][HTML] Tree-based machine learning approach to modelling tensile strength retention of Fibre Reinforced Polymer composites exposed to elevated temperatures
Abstract Fibre Reinforced Polymer (FRP) composites are susceptible to degradation at
elevated temperatures. Accurate modelling of the tensile performance of FRP composites …
elevated temperatures. Accurate modelling of the tensile performance of FRP composites …
[HTML][HTML] Analyzing the compressive strength of ceramic waste-based concrete using experiment and artificial neural network (ANN) approach
In a fast-growing population of the world and regarding meeting consumer's requirements,
solid waste landfills will continue receiving a substantial amount of waste. The utilization of …
solid waste landfills will continue receiving a substantial amount of waste. The utilization of …
Prediction of properties of self-compacting concrete containing fly ash using artificial neural network
O Belalia Douma, B Boukhatem, M Ghrici… - Neural Computing and …, 2017 - Springer
This paper investigates the feasibility of using artificial neural networks (ANNs) modeling to
predict the properties of self-compacting concrete (SCC) containing fly ash as cement …
predict the properties of self-compacting concrete (SCC) containing fly ash as cement …
Comparison of machine learning techniques for the prediction of compressive strength of concrete
A comparative analysis for the prediction of compressive strength of concrete at the ages of
28, 56, and 91 days has been carried out using machine learning techniques via “R” …
28, 56, and 91 days has been carried out using machine learning techniques via “R” …