Influence of Meteorological Parameters on Explosive Charge and Stemming Length Predictions in Clay Soil during Blasting Using Artificial Neural Networks

Influence of Meteorological Parameters on Explosive Charge and Stemming Length Predictions in Clay Soil during Blasting Using Artificial Neural Networks

The influence of the meteorological parameters (precipitation and air temperature) during blasting in clay has a direct impact on the success of blasting. In the case of large amounts of precipitation (rain and snow) recorded in the subject area, blasting in clays cannot be carried out due to the gr...

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Bibliographic Details
Main Authors: Karlo Leskovar, Denis Težak, Josip Mesec, Ranko Biondić
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
clay soil
blasting
meteorological parameters
Artificial Neural Networks
LSTM
Online Access:https://www.mdpi.com/2076-3417/11/16/7317

Internet

https://www.mdpi.com/2076-3417/11/16/7317

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