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Prediction of peak particle velocity using multi regression analysis: case studies

Geomechanics and Geoengineering, 2016
ABSTRACTGround vibrations produced from blasting operations cause structural vibrations, which may weaken structure if it occurs at the resonant frequency. Measurable parameters associated with ground vibrations are peak particle velocity (PPV), amplitude and dominant frequency (frequency of highest PPV amongst translational, vertical and horizontal ...
K. Ram Chandar   +3 more
openaire   +1 more source

Theoretical Derivation of a Peak Particle Velocity–Distance Law for the Prediction of Vibrations from Blasting

Rock Mechanics and Rock Engineering, 2008
I would like to suggest a theoretical justification for the mathematical structure of some laws for predicting the maximum particle velocity vibration from blasting operations in the light of some basic notions of elastic and anelastic wave theory. Within this point of view, in dimensionally correct expressions, the terms pertaining to the rock, to the
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On the origin of the different velocity peaks of particles sputtered from surfaces by laser pulses or charged-particle beams

Applied Surface Science, 1999
The particles emitted from surfaces irradiated by either laser pulses or charged-particle beams are often analyzed by time-of-flight (TOF) spectroscopy. This technique gives, in general, details on the velocity (thence energy) of the emitted particles, parameters which are of fundamental importance in establishing the mechanisms responsible for the ...
Miotello, Antonio, R. Kelly
openaire   +2 more sources

A new hybrid ANFIS–PSO model for prediction of peak particle velocity due to bench blasting

Engineering with Computers, 2016
In this paper, a novel hybrid approach is proposed for predicting peak particle velocity (PPV) due to bench blasting in open pit mines. The proposed approach is based on the combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO).
Ebrahim Ghasemi   +2 more
openaire   +1 more source

Proposing of a new soft computing-based model to predict peak particle velocity induced by blasting

Engineering with Computers, 2018
Estimation of ground vibration induced by blasting operations is an important task to control the safety issues at the surface mines and civil projects. By reviewing the previous studies, some empirical and soft computing models have been proposed to estimate blast-induced ground vibrations. The main goal of this research is to propose a new predictive
Taha Mokfi   +4 more
openaire   +3 more sources

Simulating the peak particle velocity in rock blasting projects using a neuro-fuzzy inference system

Engineering with Computers, 2018
Ground vibration is an adverse effect induced by rock blasting in civil and mining projects. Peak particle velocity is the most important descriptor to evaluate the ground vibration in the blasting sites. The present paper proposes an adaptive neuro-fuzzy inference system (ANFIS) for simulating the PPV in Shur River Dam area, Iran.
Wenchao Jiang   +4 more
openaire   +1 more source

Statistical reliability of forecasting peak particle velocity under large-scale production blasting

Journal of Mining Science, 2015
The authors review methods to assess reliability of forecasting of peak vibration velocities under large-scale production blasting using statistical analysis of regression residuals. The regression analysis of experimental data and the subsequent statistical analysis of the regression residuals is exemplified.
A. G. Novin’kov   +3 more
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Peak particle velocity modelling

2003
A Wetherelt, P Hunt, J Pepper
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Peak particle velocity for rockbursts in some Ontario mines

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1989
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