Srđan Kostić (Author), Matjaž Perc (Author), Nebojša Vasović (Author), Slobodan Trajković (Author)

Abstract

In the present paper, we investigate the blast induced ground motion recorded at the limestone quarry “Suva Vrela” near Kosjerić, which is located in the western part of Serbia. We examine the recorded signals by means of surrogate data methods and a determinism test, in order to determine whether the recorded ground velocity is stochastic or deterministic in nature. Longitudinal, transversal and the vertical ground motion component are analyzed at three monitoring points that are located at different distances from the blasting source. The analysis reveals that the recordings belong to a class of stationary linear stochastic processes with Gaussian inputs, which could be distorted by a monotonic, instantaneous, time-independent nonlinear function. Low determinism factors obtained with the determinism test further confirm the stochastic nature of the recordings. Guided by the outcome of time series analysis, we propose an improved prediction model for the peak particle velocity based on a neural network. We show that, while conventional predictors fail to provide acceptable prediction accuracy, the neural network model with four main blast parameters as input, namely total charge, maximum charge per delay, distance from the blasting source to the measuring point, and hole depth, delivers significantly more accurate predictions that may be applicable on site. We also perform a sensitivity analysis, which reveals that the distance from the blasting source has the strongest influence on the final value of the peak particle velocity. This is in full agreement with previous observations and theory, thus additionally validating our methodology and main conclusions.

Keywords

razstreljevanje;vibracije;surogate podatki;deterministični kaos;naključnost;blasting;vibrations;surrogate data;deterministic chaos;stochasticity;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FNM - Faculty of Natural Sciences and Mathematics
UDC: 53
COBISS: 20244488 Link will open in a new window
ISSN: 1932-6203
Views: 625
Downloads: 294
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: razstreljevanje;vibracije;surogate podatki;deterministični kaos;naključnost;
URN: URN:SI:UM:
Type (COBISS): Scientific work
Pages: str. e82056-1-e82056-13
Volume: ǂVol. ǂ8
Issue: ǂiss. ǂ12
Chronology: 2013
DOI: 10.1371/journal.pone.0082056
ID: 10843443