An innovative technique of simplified signature hole analysis for prediction of blast-induced ground vibration of multi-hole/production blast: an empirical analysis

Abstract

Prediction and control of blast-induced ground vibration is a matter of concern in mining industry since long. Several approaches ranging from scaled distance regression, different numerical methods to wave superimposition theories have been tried by many researchers for better prediction and control of blast-induced ground vibration. Signature hole analysis is one of the popular simulation methods to predict the ground vibration generated due to production blast. It superimposes the recorded signature hole waveform using a computer program to predict the production blast-induced vibration. The technique inputs the designated time of detonation of each hole and superimposes the waves generated by each hole to predict the nearest value of peak particle velocity and frequency of blast-induced ground vibration. Although a very useful approach, it requires a computer program to simulate the linear superimposition of waveforms. The simulation is not possible for every blast as it takes time and also is difficult for field engineers to simulate every time, whereas it is always easy for blasting engineers to adapt and use an empirical equation/approach for prediction and control of blast-induced ground vibration than simulation. In this paper, an attempt has been made to develop an innovative and simplified analytical approach of signature hole analysis. The simplified sinusoidal wave equation is obtained from recorded signature hole ground vibration waveform properties and is superimposed mathematically according to the multi-hole blast design to predict the production blast-induced ground vibrations. The validation of the developed approach was done in three different sites, and up to 15% more accuracy in prediction of the blast, vibrations are achieved in comparison with signature hole analysis prediction.

Calculation Method of the Blasting Throwing Energy and Its Variation Affected by the Burden

“…To predict ground vibration caused by multi-hole blasting energy, Agrawal H and Mishra A.K. [10,11] used scaled distance regression analysis and signature hole analysis. Finally, experiments were carried out to prove that the proposed method improves prediction accuracy.…”

Advances in Blast-Induced Impact Prediction—A Review of Machine Learning Applications

“…Blasting near cave regions can cause damages to the structural integrity of caves due to vibrations and air overpressure [16]. Incidents of frequent complaints, which, in some cases, escalate into protests against mining operations due to blast impacts, have been reported in many mining jurisdictions, including Ghana, India, Brazil, Turkey, and South Africa [17][18][19][20][21]. Thus, it is important to understand these phenomena and model the potential impacts of blasting activities on catchment communities.…”

A Method for Multihole Blasting Seismic Wave Prediction and Its Application in Pillar Recovery

“…Ling et al [8,9] used the time-energy analysis method based on wavelet transforms to separate each deck wave from the measured delay blast vibration signals and obtained a rational millisecond delay time by waveform superposition of these single-deck waves with different delay time to control blast vibration disasters. Agrawal and Mishra et al [10] proposed a new empirical approach of simplified signature hole analysis (SSHA) for the multihole blast design to predict production blast-induced ground vibrations, up to 15% more accuracy in the prediction of blast vibrations. Zhong et al [11,12] and Gao et al [13] studied the impact of blast vibration duration and millisecond delay time on blast vibration disaster and proposed a vibration duration prediction formula with signal energy and an optimization method of millisecond delay time.…”