Green blasting policy: simultaneous forecast of vertical and horizontal distribution of dust emissions using artificial causality-weighted neural network

E Bakhtavar, S Hosseini, K Hewage, R Sadiq - Journal of Cleaner …, 2021 - Elsevier
The environmental impacts of the mining industry as well as reduction strategies are
important issues that have been highlighted as a result of the environmentally-friendly policy …

Quantitative characterization of carbonation of cement-based materials using X-ray imaging

S Hong, R Jiang, F Zheng, S Fan, B Dong - Cement and Concrete …, 2022 - Elsevier
Carbonation is one of the causes of concrete deterioration. In this study, the carbonation
process of cement was studied using non-destructive X-ray imaging technology, offering a …

Prediction of dust emission due to open pit mine blasting using a hybrid artificial neural network

S Hosseini, M Monjezi, E Bakhtavar… - Natural Resources …, 2021 - Springer
This study developed a new perspective of artificial neural networks using dimensional
analysis to be applicable to certain prediction problems. To this end, dimensional analysis …

Rapid visualization and quantification of water penetration into cement paste through cracks with X-ray imaging

F Zheng, S Hong, D Hou, B Dong, Z Kong… - Cement and Concrete …, 2022 - Elsevier
The rapid ingress of water into concrete through cracks endangers the durability of concrete
structures. In this study, X-ray radiography was employed to monitor the capillary absorption …

Visualization and quantification of water penetration in cement pastes with different crack sizes

F Zheng, R Jiang, B Dong, S Hong, Y Zhang… - … and Building Materials, 2022 - Elsevier
Cracks promote the rapid ingress of water into concrete and shorten the service life of
concrete structures. As different deterioration factors form cracks of different sizes, it is …

An intelligent integrated approach of Jaya optimization algorithm and neuro-fuzzy network to model the stratified three-phase flow of gas–oil–water

GH Roshani, A Karami, E Nazemi - Computational and Applied …, 2019 - Springer
The problem of how to accurately measure the volume fractions of oil–gas–water mixtures in
a pipeline remains as one of the key challenges in the petroleum industry. The current …

[HTML][HTML] Determination of defect depth in industrial radiography imaging using MCNP code and SuperMC software

A Khorshidi, B Khosrowpour, SH Hosseini - Nuclear Engineering and …, 2020 - Elsevier
Background Non-destructive evaluation of defects in metals or composites specimens is a
regular method in radiographic imaging. The maintenance examination of metallic structures …

Proposing intelligent approach to predicting air kerma within radiation beams of medical x-ray imaging systems

Y Lu, N Zheng, M Ye, Y Zhu, G Zhang, E Nazemi, J He - Diagnostics, 2023 - mdpi.com
The air kerma is a key parameter in medical diagnostic radiology. Radiologists use the air
kerma parameter to evaluate organ doses and any associated patient hazards. The air …

Estimation of volumetric water content during imbibition in porous building material using real time neutron radiography and artificial neural network

E Nazemi, M Dinca, A Movafeghi, B Rokrok… - Nuclear Instruments and …, 2019 - Elsevier
Movement of fluids through porous media is of great significance in different sciences such
as civil engineering and chemical technology. When a fluid is introduced to a porous media …

Proposing an intelligent approach for measuring the thickness of metal sheets independent of alloy type

E Nazemi, M Aminipour, A Olfateh, SM Golgoun… - Applied Radiation and …, 2019 - Elsevier
Radiation based gauges have been widely utilized as a nondestructive and robust tool for
measuring the thickness of metal sheets in industry. The typical radiation thickness meter …