Results 231 to 240 of about 2,919,643 (273)

Development of a model to predict peak particle velocity in a blasting operation

International Journal of Rock Mechanics and Minings Sciences, 2011
Ground vibrations arising from rock blasting is one of the fundamental problems in the mining industry, and predicting it plays an important role in the minimization of environmental complaints. To evaluate and calculate the blast-induced ground vibration by incorporating blast design and rock strength, artificial neural networks (ANN) and dimensional ...
H. Dehghani, M. Ataee-pour
exaly   +2 more sources

Modified Scaled Distance Equation Used for Estimation of Peak Particle Velocity

Journal of Mining Science, 2020
Scaled distance equations used for estimating peak particle velocity have been developed by some researchers. The most widely used equation among these is the equation developed by Duvall and Fogelson. However, the equation has not exactly estimated the peak particle velocity correctly.
Tosun, ABDURRAHMAN
core   +4 more sources

Classification and regression tree technique in estimating peak particle velocity caused by blasting

Engineering With Computers, 2016
Blasting is a widely used technique for rock fragmentation in surface mines and tunneling projects. The ground vibrations produced by blasting operations are the main concern for the industries undertaking blasting operations, which can damage the surrounding structures, adjacent rock masses, roads and slopes in the vicinity.
Danial Jahed Armaghani, Muhd Zaimi Abd. Majid, Roohollah Shirani Faradonbeh   +2 more
exaly   +3 more sources

Peak particle velocity of vibration events in underground coal mine and their caused stress increment

Measurement: Journal of the International Measurement Confederation, 2021
Abstract Peak particle velocity (PPV) is the most basic and direct parameter of vibration event to connect with stress increment, so they are studied in this paper through statistics and analysis. The vibration events in underground coal mine can be divided into whole mine (WM) event, working face (WF) event and heading face (HF) event, and the WM ...
Wenlong Zhang
exaly   +2 more sources

Estimation of peak particle velocity using soft computing technique approaches: a review

Noise and Vibration Worldwide, 2018
Ground vibrations caused by blasting are undesirable consequences in the mining industry. It can cause serious damage to the nearby buildings and facilities. Hence, such vibrations have to be controlled to reduce the damage to the environment, and this may be achieved by predicting the blast peak particle velocity. The induced peak
R Prashanth, D S Nimaje
exaly   +2 more sources

Peak Particle Velocity for Blasting Rock Modeling

57th U.S. Rock Mechanics/Geomechanics Symposium, 2023
ABSTRACT Blasting mechanisms are a complex coupling of the rock mass properties and the explosive detonation performance as well as the blast design parameters. Both rock mass and explosive properties have parameters that are inherently not well defined.
R. Yang, S. Green
openaire   +1 more source

Prediction of peak particle vibration velocity based on intelligent optimization algorithm combined with XGBoost

Expert Systems With Applications
Xin XIONG
exaly   +2 more sources

Prediction of peak particle velocity and peak air pressure generated by buried explosion

International Journal of Mining and Geological Engineering, 1988
Three sets of different formulae expressed as functions of dynamic elastic constants of rock and some design parameters involved in a buried explosion are derived explicitly for the prediction of peak particle velocity (PPV) and peak air pressure (PAP).
R.N. Gupta, P. Pal Roy, B. Singh
openaire   +1 more source

Selection of Blasting Design Parameters Affecting Peak Particle Velocity—a Case Study

Mining, Metallurgy & Exploration, 2021
The present study has been conducted in surface limestone mine to select the controllable blasting design parameters affecting the peak particle velocity (PPV) for assessment of ground vibration. The study aims at using two prominent statistical tools, namely, principal component analysis (PCA) and stepwise selection and elimination (SSE) techniques ...
Punit Paurush, Piyush Rai, Suresh Kumar Sharma   +2 more
openaire   +1 more source

Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting

Engineering with Computers, 2016
Ground vibration is one of the most undesirable effects of blasting operation in surface mines. Therefore, it seems that the prediction of ground vibrations with a high degree of accuracy is necessary to reduce environmental effects. This article proposes a novel swarm intelligence algorithm based on cuckoo search (NSICS) to create a precise equation ...
Nazanin Fouladgar, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh   +2 more
openaire   +1 more source