[PDF][PDF] AI-driven analysis of rock fragmentation: The influence of explosive charge quantity

NS Chandrahas, BS Choudhary… - Acadlore Trans …, 2024 - library.acadlore.com
Drilling and blasting are essential operations within the mining industry, playing a critical
role in material fragmentation. Despite advancements in various blasting technologies, the …

An Investigation of the Cumulative Impact of Decking Length and Firing Pattern on Blasting Results

S Chandrahas, BS Choudhary… - Journal of Mining …, 2025 - jme.shahroodut.ac.ir
To conducting efficient blasting operations, one needs to analyze the bench geology,
structural and dimensional parameters to obtain the required optimum fragmentation with …

Harmonizing Blasting Efficiency: A Case Study on Evaluation and Optimization of Fragmentation Size and Ground Vibration

M Naresh, N Sri Chandrahas, G Praful Kumar… - Journal of The Institution …, 2024 - Springer
Drilling and blasting techniques persist as the most economically viable approaches for rock
excavation in both surface and underground mining. However, the conventional focus has …

[PDF][PDF] A principal component-enhanced neural network framework for forecasting blast-induced ground vibrations

T Pradeep, NS Chandrahas, Y Fissha - J. Civ. Hydraul. Eng, 2024 - library.acadlore.com
Blast-induced ground vibration, a by-product of rock fragmentation, presents significant
challenges, particularly in areas adjacent to residential structures, where excessive vibration …

[PDF][PDF] A Matlab-Based Neural Network Model for Predicting Blast-Induced Ground Vibration.

T Pradeep, N Sri Chandrahas, Y Fissha… - Mining Revue/Revista …, 2024 - sciendo.com
This research delves into using an artificial neural network (ANN) to forecast blast-induced
ground vibration, vital for controlling the impact of blasting on nearby residential areas. By …