[PDF][PDF] Optimal compressive strength of RHA ultra-high-performance lightweight concrete (UHPLC) and its environmental performance using life cycle assessment

KC Onyelowe, AM Ebid, HA Mahdi, A Riofrio… - Civil Engineering …, 2022 - academia.edu
Frequent laboratory needs during the production of concrete for infrastructure development
purposes are a factor of serious concern for sustainable development. In order to overcome …

Developing new models for flyrock distance assessment in open-pit mines

J Shakeri, H Amini Khoshalan… - Journal of Mining …, 2022 - jme.shahroodut.ac.ir
In this research work, a comprehensive study is conducted to predict flyrock as a typical and
undesirable phenomenon occurring during the blasting operation in open-pit mining …

Utilizing heuristic strategies for predicting the backbreak occurrences in open-pit mines, Gol Gohar Mine, Iran

P Sorabi, M Ataei, MRA Jazi, H Dehghani, J Shakeri… - Soft Computing, 2024 - Springer
Backbreak (BB) is a detrimental outcome of blasting activities in mineral extraction
processes within mines. It involves the development of fractures and cracks at considerable …

Application of artificial intelligence techniques for predicting the flyrock, Sungun mine, Iran

J Shakeri, M Bascompta, M Alimoradijazi… - Arabian Journal of …, 2023 - Springer
Flyrock is known as one of the main problems in open pit mining operations. This
phenomenon can threaten the safety of mine personnel, equipment and buildings around …

Development of new comprehensive relations to assess rock fragmentation by blasting for different open pit mines using GEP algorithm and MLR procedure

H Moomivand, H Amini Khoshalan, J Shakeri… - International Journal of …, 2022 - ijmge.ut.ac.ir
The fragment size of blasted rocks considerably affects the mining costs and production
efficiency. The larger amount of blasthole diameter (ϕh) indicates the larger blasting pattern …

Intelligent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack Stress Thresholds

J Shakeri, G Pepe, R Shirani Faradonbeh… - Rock Mechanics and …, 2024 - Springer
This study aims to make a unique contribution to the existing body of knowledge about rock
strength and deformation parameters and crack stress thresholds through intelligent and …

Strength and stiffness prediction models of expansive clays blended with sawdust ash

SS Alisha, TV Nagaraju, PSR Murty… - IOP Conference …, 2023 - iopscience.iop.org
Strength and stiffness characteristics are major concern for selecting any geomaterial.
However, laboratory testing of these characteristics is time associated, laborious, and high …

Red mud nano-fines potential for improving the geotechnical properties of ameliorated reconstituted black cotton soil

SS Alisha, V Dumpa, V Sreenivasulu… - … Experiments and Design, 2022 - Springer
Nearly 51.8 million hectares of land area in India is covered with expansive soils (mainly
black cotton soil (BCS)). The property of the expansive soils, in general, is that they are very …

[PDF][PDF] Optimal compressive strength of RHA ultra-high-performance lightweight concrete (UHPLC) and its environmenta l performance using life cycle assessment

N Denise-Penelope, J Shakeri, H Jahangir - Civil Engin. J, 2022 - researchgate.net
Frequent laboratory needs during the production of concrete for infrastructure development
purpose is a factor of serious concern to sustainable development. In order to overcome this …

Application of Artificial Intelligence Techniques for Predicting the Back-break in Blasting Operation

P Sorabi, M Ataei, MRA Jazi, H Dehghani, J Shakeri… - 2023 - researchsquare.com
One of the adverse consequences of the blasting in the mineral extraction process in mines
is back-break (BB) so that development of many fractures and cracks at large distances …