Assessment of the ground vibration during blasting in mining projects using different computational approaches
The investigation compares the conventional, advanced machine, deep, and hybrid learning
models to introduce an optimum computational model to assess the ground vibrations …
models to introduce an optimum computational model to assess the ground vibrations …
Tunnel boring machine performance prediction using Supervised learning method and swarm intelligence algorithm
This study employs a supervised learning method to predict the tunnel boring machine
(TBM) penetration rate (PR) with high accuracy. To this end, the extreme gradient boosting …
(TBM) penetration rate (PR) with high accuracy. To this end, the extreme gradient boosting …
Assessment of the uniaxial compressive strength of intact rocks: An extended comparison between machine and advanced machine learning models
Rock strength is the most deterministic parameter for studying geological disasters in
resource development and underground engineering construction. However, the …
resource development and underground engineering construction. However, the …
Using a dividing open-pit blast (DOPB) method to reduce ore loss and dilution caused by blast-induced rock movement
To reduce the ore loss and dilution caused by blast-induced rock movement in open-pit
bench blasting, a dividing open-pit blast (DOPB) method was theoretically analyzed …
bench blasting, a dividing open-pit blast (DOPB) method was theoretically analyzed …
[HTML][HTML] Prediction of concrete compressive strength using support vector machine regression and non-destructive testing
W Zhang, D Liu, K Cao - Case Studies in Construction Materials, 2024 - Elsevier
Performance assessment of existing building structures, especially concrete compressive
strength assessment, is a crucial aspect of engineering construction for most industrialized …
strength assessment, is a crucial aspect of engineering construction for most industrialized …
A Multilayer Dig-Limit Approach for Reducing Ore and Profit Losses in an Open-Pit Mine Having Complex Orebody
Rock fragment movement during blasting operations is a major cause of ore and profit
losses in hard rock open-pit mines having a complex-orebody. To address this issue, a …
losses in hard rock open-pit mines having a complex-orebody. To address this issue, a …
Towards lightweight excavation: Machine learning exploration of rock size distribution prediction after tunnel blasting
Advanced and accurate prediction of rock fragmentation distribution can reduce the
secondary crushing work, the cost of manual equipment and increase efficiency, thereby …
secondary crushing work, the cost of manual equipment and increase efficiency, thereby …
Prediction and minimization of blasting flyrock distance, using deep neural networks and gravitational search algorithm, JAYA, and multi-verse optimization algorithms
E Ghojoghi, MAE Farsangi, H Mansouri, E Rashedi - Heliyon, 2024 - cell.com
Flyrock represents a significant and fundamental challenge in surface mine blasting,
carrying inherent risks to humans and the environment. Consequently, accurate prediction …
carrying inherent risks to humans and the environment. Consequently, accurate prediction …
[HTML][HTML] Indirect hazard evaluation by the prediction of backbreak distance in the open pit mine using support vector regression and chicken swarm optimization
Backbreak is one of the undesirable phenomena in open-pit mines and causes several
adverse hazards, such as lanslide, rock falling off and bench instability. Backbreak is …
adverse hazards, such as lanslide, rock falling off and bench instability. Backbreak is …
Fragmentation by blasting size prediction using SVR-GOA and SVR-KHA techniques
The control of blasting fragmentation is a difficult task in mining engineering due to the
uncertainty and complicated mechanism of crack development fragment generation. Too …
uncertainty and complicated mechanism of crack development fragment generation. Too …