Prediction of blast-induced ground vibration in dolomitic marble quarry using Z-number information and fuzzy cognitive map based neural network models
Blast-induced ground vibration (BIGV) is one of the detrimental environmental consequences of blasting operations in mining and civil engineering. Hence, accurate prediction of BIGV is highly imperative. Therefore, different novel artificial intelligence (AI) methods such as Bayesian regularized neu...
Saved in:
| Main Authors: | Shahab Hosseini, Abiodun Ismail Lawal, Francois Mulenga |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-10-01
|
| Series: | Rock Mechanics Bulletin |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773230425000447 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of strain gauge and geophone based integrated monitoring system in the measurements of the blast induced low-frequency vibrations
by: Andrzej Biessikirski, et al.
Published: (2025-03-01) -
Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining
by: Yewuhalashet Fissha, et al.
Published: (2025-01-01) -
Safety Assessment of the Cover-and-Cut Method Under Blasting Vibration Induced by Tunnel Excavation
by: Yunhao Che, et al.
Published: (2024-12-01) -
Hybrid statistical-algorithmic approach using the frog algorithm to optimize blast patterns for reducing blast vibrations
by: Abbas Khajouei Sirjani, et al.
Published: (2025-12-01) -
Numerical Computation-Based Analysis of Blasting Vibration Effects and Slope Stability in an Open-Pit Quarry
by: Botao Fu, et al.
Published: (2024-11-01)