[HTML][HTML] Iron sand heavy-weight concrete–pre-and post-fire characteristics from wet packing density perspective
MH Lai, YM Xie, BX Zhang, FM Ren… - … and Building Materials, 2024 - Elsevier
Heavy-weight concrete (HWC) is currently the most widely used radiation shielding material
in the nuclear industry. However, the pre-and post-fire mechanical behavior of HWC …
in the nuclear industry. However, the pre-and post-fire mechanical behavior of HWC …
[PDF][PDF] Artificial neural networks in slope of road embankment stability applications: a review and future perspectives
The artificial or neural network is one of the branches of the artificial intelligence method.
Over the last few decades, artificial neural networks (ANNs) have been widely used to …
Over the last few decades, artificial neural networks (ANNs) have been widely used to …
Effect of La2O3 on Magnesium Borosilicate glasses glass for radiation shielding materials in nuclear application
N Karpuz - Radiation Physics and Chemistry, 2024 - Elsevier
As the radiation shielding is important for human health, alternative materials are under
research for using this purposes. Thus in this study, Magnesium Borosilicate Glasses were …
research for using this purposes. Thus in this study, Magnesium Borosilicate Glasses were …
Predicting the strength properties of self healing concrete using artificial neural network
An extensive simulation program is used in this study to discover the best ANN model for
predicting the compressive strength of concrete with respect to the percentage of mineral …
predicting the compressive strength of concrete with respect to the percentage of mineral …
Prediction of binder content in glass fiber reinforced asphalt mix using machine learning techniques
A Upadhya, MS Thakur, A Mashat, G Gupta… - IEEE …, 2022 - ieeexplore.ieee.org
Several researchers have reported the results of adding a variety of fibers to asphalt
concrete described as fiber-reinforced asphalt concrete (FRAC). This research paper finds …
concrete described as fiber-reinforced asphalt concrete (FRAC). This research paper finds …
Biochar-enhanced concrete mixes: Pioneering multi-objective optimization
The incorporation of biochar (BC) as a partial substitute for cement in concrete formulations
provides a promising pathway for mitigating the environmental impacts associated with …
provides a promising pathway for mitigating the environmental impacts associated with …
Developing a New Procedural Binary Particle Swarm Optimization Algorithm to Estimate Some Properties of Local Concrete Mixtures
Artificial intelligence techniques have lately been used to estimate the mechanical
properties of concrete to reduce time and financial expenses, but these techniques differ in …
properties of concrete to reduce time and financial expenses, but these techniques differ in …
The effect of Nd2O3 on the gamma-neutron shielding properties for iron-boron-phosphate composites
The radiation is used in a variety of different fields, and due to its harmful effect on human
cell, it has been one of the most important topic in physics. Most of the recent works were …
cell, it has been one of the most important topic in physics. Most of the recent works were …
[PDF][PDF] Predicting the poisson ratio of lightweight concretes using artificial neural network
Artificial neural network is generally information processing system and a computer program
that imitates human brain neural network system. By entering the information from outside …
that imitates human brain neural network system. By entering the information from outside …
A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting
The development of reinforced polymer composite materials has had a significant influence
on the challenging problem of shielding against high-energy photons, particularly X-rays …
on the challenging problem of shielding against high-energy photons, particularly X-rays …