Studies on Seismic Energy of Ground Vibrations due to Blasting based on Signal Processing and Electrical Energy generation
Date
2019
Authors
Garimella, Raghu Chandra.
Journal Title
Journal ISSN
Volume Title
Publisher
National Institute of Technology Karnataka, Surathkal
Abstract
Blasting may be considered as the most crucial process in opencast mines. It is,
therefore, important for mining engineers to understand the effect of blast design
parameters on the results of blasting. Blasting operations in mines and quarries always
result in ground vibrations, which are of major environmental concern. In general, a
meager percentage of total explosive energy is utilized in rock fragmentation process,
while the rest is wasted. Wasted explosive energy manifests in the form of various
environmental effects such as ground vibrations, air over pressure and fly rock
(Dowding, 1985). Ground vibrations caused by blasting cannot be totally eliminated,
yet they can be minimized through a suitable blasting methodology. Substantial
amount of research associated with identification of ground vibrations and assessing
the blast performance in terms of intensity of ground vibrations has been carried out,
so far. Nonetheless, very little research has gone into seismic energy and utilizing this
energy in understanding the performance of blasts. Modern tools like high speed
videography and seismic energy analysis reveal many aspects of fragmentation
process, which otherwise are difficult to visualize and understand (Sastry, 2015).
In the current research study, an attempt was made for the assessment and estimation
of seismic energy dissipated into the ground due to blast induced ground vibrations at
different distances from blast site. Studies were carried out in three mines having hard
limestone formation, one soft limestone mine formation, one underground coal mine
formation, two sandstone formations, and five quarries of hard granite rock formation.
Initial studies were carried out by determining the geotechnical parameters
influencing the propagation of ground vibrations in the laboratory, using the samples
collected from mines and quarries of respective formations. Later, altogether 116
ground vibration events in hard limestone formation, 37 ground vibration events in
soft limestone formation, 86 ground vibration events in an underground coal
formation, 43 ground vibration events in sandstone formation, and 94 vibration events
in granite formation were recorded resulting from various blast rounds using ground
vibration monitors. Further, digital signal processing computation was done using
Advanced Blastware and DADiSP software for all ground vibration waveforms. Mostof the blasts studied were recorded using High Speed Video Camera of 1000fps
capacity for analyzing the blast dynamics. Multiple regression analysis was carried
out for assessing the influence of Maximum Charge/Delay, Scaled Distance, Distance,
and PPV on seismic energy. Also, ANOVA analysis was carried out for estimation of
seismic energy with given blast design parameters using MATLAB.
An attempt was made to tap electrical energy from blast induced ground vibrations
using the Piezo-Generator (Piezo-Gen) circuit. Validation of Piezo-Gen circuit was
done by comparing its output (generated voltage) with the vibration data obtained
from geophones. It was evident from the results that the working of developed PiezoGen circuit is appropriate and analogous with vibration monitors. The developed
Piezo-Gen circuits were placed adjacent to the seismographs at different short to long
range distances to tap electrical energy from ground vibrations. In total, electrical
energy was tapped from 66 blast induced ground vibrations in limestone formation,
36 in coal formation, 41 in sandstone formation and 94 in granite formation. Electrical
voltage tapped from the blast induced ground vibrations during studies was used for
running low powered VLSI systems as ambient power source. The tapped electrical
energy was correlated with the PPV and seismic energy.
Additionally, numerical modelling was carried out as a parametric study for
predicting the seismic energy component resulting from a given blast. Altogether, 98
models were developed using SIMULIA Abaqus / CAE interface. Among them, 28
models are in limestone formation, 14 models are in coal formation, 15 models are in
sandstone formation and 41 models are in granitic rock formation. Typical size of
each developed model after running the job was upto 3.71GB in limestone formation,
461MB in underground coal formation, 6.02GB in sandstone formation and 5.47GB
in granite formation. Each model job run took upto 8-27hrs for completion, in
different rock formations. SIMULIA Abaqus based Finite Element Analysis (FEA),
with both Python Scripting and Graphic User Interface (GUI) was used to estimate the
magnitude of ground vibration intensity (PPV) resulting from a given blast.
Additional parameter observed during a blast in the simulated models of four
formations was stress components at integral points. Validation of results obtainedfrom developed models was done by comparing with the field results by carrying out
three dimensional regression analysis.
A proper correlation (>75%) between seismic energy and scaled distance was
observed in all four rock formations. Also, from the regression analysis made, an
excellent correlation (>90%) between seismic energy and electrical energy was
observed in all formations. It indicated the possibility of assessing seismic energy
dissipated by ground vibrations with the electrical energy generated by the developed
Piezo-Gen circuit. From the numerical modelling analysis, higher stress values were
observed at lower distances from blast location indicating dissipation of greater
seismic energy. Also, PPV was found to increase in proportional to the distance in all
four formations. From the three dimensional curve fitting analysis made among PPVs
resulting from modelling study, PPVs obtained in field investigations, and electrical
voltages obtained from Piezo-Gen circuit, a very good correlation between the
modelling results and seismic data generated from vibration monitoring and electrical
data generated from piezo electric generator was observed. Study indicated that the
working of Piezo-Gen circuit in tapping ground vibrations is as accurate as traditional
ground vibration monitors.
Description
Keywords
Department of Mining Engineering