State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
The technological difficulties related with blasting operations have become increasingly
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
Application of artificial neural network (ANN) for prediction and optimization of blast-induced impacts
AY Al-Bakri, M Sazid - Mining, 2021 - mdpi.com
Drilling and blasting remain the preferred technique used for rock mass breaking in mining
and construction projects compared to other methods from an economic and productivity …
and construction projects compared to other methods from an economic and productivity …
[HTML][HTML] Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms
The main purpose of blasting operation is to produce desired and optimum mean size rock
fragments. Smaller or fine fragments cause the loss of ore during loading and transportation …
fragments. Smaller or fine fragments cause the loss of ore during loading and transportation …
Vision-based rock-type classification of limestone using multi-class support vector machine
S Chatterjee - Applied intelligence, 2013 - Springer
Rock-type classification is a challenging and difficult job due to the heterogeneous
properties of rocks. In this paper, an image-based rock-type analysis and classification …
properties of rocks. In this paper, an image-based rock-type analysis and classification …
Artificial neural network modeling as an approach to limestone blast production rate prediction: a comparison of PI-BANN and MVR models
Rock blast production rate (BPR) is one of the most crucial factors in the evaluation of mine
project's performance. In order to improve the production of a limestone mine, the blast …
project's performance. In order to improve the production of a limestone mine, the blast …
[PDF][PDF] Slope stability analysis in open pit mines of Jebel Gustar career, NE Algeria–a multi-steps approach
Several types of instabilities can menace the personnel and equipment in the open cast
mines. Their kinematicis dependent commonly on the nature, the structure, the fracturing …
mines. Their kinematicis dependent commonly on the nature, the structure, the fracturing …
[HTML][HTML] Blastability evaluation for rock mass fragmentation in Iran central iron ore mines
In this research, we investigated the influence of rock mass properties, blast design
parameters and explosive properties on blast fragmentation. Rock mass properties were …
parameters and explosive properties on blast fragmentation. Rock mass properties were …
Soft computing applications for optimum rock fragmentation: an advanced overview
Rock fragmentation is an important phenomenon in mining engineering as its outcome
determines the productivity of the entire mining process. Its imperativeness in mining …
determines the productivity of the entire mining process. Its imperativeness in mining …
Mean block size prediction in rock blast fragmentation using TPE-tree-based model approach with SHapley Additive exPlanations
The optimum fragmentation size measures the quality of a blasting operation. Boulders or
large fragments can result in more costs because they need secondary blasting, while small …
large fragments can result in more costs because they need secondary blasting, while small …
[PDF][PDF] Rock fragmentation prediction through a new hybrid model based on imperial competitive algorithm and neural network
BR Murlidhar, DJ Armaghani… - Smart Construction …, 2018 - pdfs.semanticscholar.org
3 Siam City Concrete Co, Bangkok 10110, Thailand. Abstract: Reliable estimation of rock
fragmentation is an important issue in the blasting operations in order to predict quality of the …
fragmentation is an important issue in the blasting operations in order to predict quality of the …