[HTML][HTML] A deep dive into tunnel blasting studies between 2000 and 2023—A systematic review
Tunnel blasting is a common practice used to excavate rock formations. Many academic
research articles have emerged and burgeoned in the field of tunnel blasting. These articles …
research articles have emerged and burgeoned in the field of tunnel blasting. These articles …
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 …
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential
Among the research hotspots in geological/geotechnical engineering, research on the
prediction of soil liquefaction potential is still limited. In this research, several machine …
prediction of soil liquefaction potential is still limited. In this research, several machine …
[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 …
Proposing several hybrid SSA—Machine learning techniques for estimating rock cuttability by conical pick with relieved cutting modes
During excavation of roadheader, specific energy (SE) is a key component of rock cuttability
evaluation and cutting head design. Previous studies have shown that the specific energy is …
evaluation and cutting head design. Previous studies have shown that the specific energy is …
Proposing two novel hybrid intelligence models for forecasting copper price based on extreme learning machine and meta-heuristic algorithms
The focus of this study aims at developing two novel hybrid intelligence models for
forecasting copper prices in the future with high accuracy based on the extreme learning …
forecasting copper prices in the future with high accuracy based on the extreme learning …
Optimized support vector machines combined with evolutionary random forest for prediction of back-break caused by blasting operation
Back-break is an adverse event in blasting works that causes the instability of mine walls,
equipment collapsing, and reduction in effectiveness of drilling. Therefore, it boosts the total …
equipment collapsing, and reduction in effectiveness of drilling. Therefore, it boosts the total …
A novel artificial intelligent model for predicting water treatment efficiency of various biochar systems based on artificial neural network and queuing search algorithm
X Zheng, H Nguyen - Chemosphere, 2022 - Elsevier
This study aims at providing a robust artificial intelligent model for predicting the efficiency of
heavy metal removal from aqueous solutions of biochar systems with high accuracy and …
heavy metal removal from aqueous solutions of biochar systems with high accuracy and …
A comparative study of six hybrid prediction models for uniaxial compressive strength of rock based on swarm intelligence optimization algorithms
Uniaxial compressive strength (UCS) is a significant parameter in mining engineering and
rock engineering. The laboratory rock test is time-consuming and economically costly …
rock engineering. The laboratory rock test is time-consuming and economically costly …
Advanced tree-based techniques for predicting unconfined compressive strength of rock material employing non-destructive and petrographic tests
Y Wang, M Hasanipanah, ASA Rashid, BN Le… - Materials, 2023 - mdpi.com
The accurate estimation of rock strength is an essential task in almost all rock-based
projects, such as tunnelling and excavation. Numerous efforts to create indirect techniques …
projects, such as tunnelling and excavation. Numerous efforts to create indirect techniques …