Prediction of blast-induced ground vibrations in limestone mine using Multiple Linear Regression (MLR) Analysis

Appani Ravikumar, Department of Mining Engineering, National Institute of Technology, Srinivasnagar Surathkal, Mangalore, Karnataka, IndiaFollow
Harsha Vardhan, Department of Mining Engineering, National Institute of Technology, Srinivasnagar Surathkal, Mangalore, Karnataka, India
K V Subrahmanyam Sarma, Department of Mining Engineering, National Institute of Technology, Srinivasnagar Surathkal, Mangalore, Karnataka, India

Author ORCID Identifier

Appani Ravi Kumar: 0000-0003-4531-783X

Harsha Vardhan: 0000-0001-6091-5286

Subrahmanyam Sarma K. V.: 0009-0002-2705-6832

Abstract

Open cast mining comprises a series of activities, including rotary cum percussive drilling, blasting, loading, and dumping. The excavation of overburden (OB) and minerals is carried out by employing the blasting process. The adverse effects linked to the practice of blasting include the generation of ground vibrations, the occurrence of fly rock, and the production of air-over pressure. Among the undesirable outcomes, ground vibrations are a significant concern for mining and environmental engineers. Typically, the estimation of ground vibrations caused by blasts in open-cast mines is accomplished using conventional regression analysis techniques. The independent variable included in the regression analysis is the distance between the location of the blasting activity and the specific site of interest (D) and the maximum charge per delay (MCD). The influence of blast design on the generation of blast-induced ground vibrations is significant. Therefore, this research aimed to forecast the ground vibrations generated by blasting, integrating blast design factors with regularly utilized characteristics, using a Multiple Linear Regression analysis technique.

Recommended Citation

Ravikumar, Appani; Vardhan, Harsha; and Sarma, K V Subrahmanyam (2025) "Prediction of blast-induced ground vibrations in limestone mine using Multiple Linear Regression (MLR) Analysis," Journal of Sustainable Mining: Vol. 24 : Iss. 3 , Article 2.
Available at: https://doi.org/10.46873/2300-3960.1460