Intelligent ground vibration prediction in surface mines using an efficient soft computing method based on field data
Ground vibration induced by blasting operations is considered one of the most common environmental effects of mining projects. A strong ground vibration can destroy buildings and structures, hence its prediction and minimization are of high importance. The aim of this study is to estimate the ground...
Saved in:
Main Authors: | Keshtegar, Behrooz, Piri, Jamshid, Abdullah, Rini Asnida, Hasanipanah, Mahdi, Sabri, Mohanad Muayad, Le, Binh Nguyen |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023
|
Subjects: | |
Online Access: | http://eprints.utm.my/107457/1/RiniAsnidaAbdullah2023_IntelligentGroundVibrationPredictionInSurface.pdf http://eprints.utm.my/107457/ http://dx.doi.org/10.3389/fpubh.2022.1094771 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimized data-driven models for prediction of flyrock due to blasting in surface mines
by: Ding, Xiaohua, et al.
Published: (2023) -
Feasibility of ICA in approximating ground vibration resulting from mine blasting
by: Armaghani, Danial Jahed, et al.
Published: (2016) -
Predicting the rock fragmentation in surface mines using optimized radial basis function and cascaded forward neural network models
by: Ding, Xiaohua, et al.
Published: (2023) -
Prediction of blast-induced ground vibration at a limestone quarry: An artificial intelligence approach
by: Arthur, Clement Kweku, et al.
Published: (2022) -
Ground vibration induced by moving vehicle on soft soil
by: Engku Ab Rahman, Engku Shahrulerizal, et al.
Published: (2019)