Comparative study on ground vibrations prediction by statistical and neural networks approaches at Tunçbilek coal mine, panel byh

Akeil, Salah
In this thesis, ground vibrations induced by bench blasting from the Tunçbilek Coal Mine, Panel BYH, were measured to find out the site-specific attenuation and to assess the structural damage risk. A statistical approach is applied to the collected data, and from the data analysis an attenuation relationship is established to be used in predicting the peak particle velocity as well as to calculate the maximum allowable charge per delay. The values of frequencies are also analyzed to investigate the damage potential to the structures of Tunçbilek Township. A new approach to predict the peak particle velocity is also proposed in this research study. A neural network technique from the branch of the artificial intelligence is put forward as an alternative approach to the statistical technique. Findings of this study indicate, according to USBM (1980) criteria, that there is no damage risk to the structures in Tunçbilek Township induced by bench blasting performed at Tunçbilek coal mine, Panel BYH. Therefore, it is concluded that the damage claims put forward by the inhabitants of Tunçbilek township had no scientific bases. It is also concluded that the empirical statistical technique is not the only acceptable approach that can be taken into account in predicting the peak particle velocity. An alternative and interesting neural network approach can also give a satisfactory accuracy in predicting peak particle velocity when compared to a set of additional recorded data of PPV.


Application of Rock Mass Classification Systems for Future Support Design of the Dim Tunnel Near Alanya
Coşar, Songül; Ünal, Erdal; Department of Mining Engineering (2004)
In this thesis, the results of a number of rock mass classification systems applied to Dim-higway tunnel study area are presented. The tunnel ground was classified according to Rock Mas Rating (RMR), Modified Rock mass Rating (M-RMR), Rock mass quality (Q), Geological Strength Index (GSI) and New Austrian Tunneling Method (NATM). Dim Tunnel has a horse-shoe shape, with a diameter of 10 meters and maximum overburden thickness of 70 meters. During studies, the geological and geotechnical characteristics of th...
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The aim of this research was to investigate the possibility of the production of a magnetite concentrate which is suitable for preparation of heavy media from iron ore tailings of Güncem Mining Company magnetic separation facility. During the study, three different tailings named as low grade, medium grade and high grade with 5.91 % Fe3O4, 19.06 % Fe3O4 and 37.06 % Fe3O4, respectively, were used. Mineralogical analyses of test samples showed that magnetite and hematite were the major ore minerals while pyri...
Çubukbeli Tunnel, classification systems, rock mass strength parameters, excavation and support systems, finite element analysis
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İnan, Cem; Güyagüler, Tevfik; Department of Mining Engineering (2005)
Ventilation problems raised with the beginning of underground mining. In underground mining, to provide safe and healthy working conditions, ventilation should be designed properly. Especially in the planning stage of the project, to design ventilation properly is very important. The latest upgrade of the popular ventilation simulation program, known as VnetPC 2000, has been applied for the ventilation design. In this study simulation is conducted to both auxiliary and main ventilation at Çayirhan G Field. ...
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Öztoprak, Ayşe Feray; Hiçyılmaz, Cahit; Department of Mining Engineering (2006)
In this thesis, coal-water mixtures (CWM) with Çayırhan lignite were prepared to optimize the parameters of CWM having an ideal behavior which means that at maximum coal loading, relatively stable at static and dynamic conditions and exhibit low viscosity. For this purpose, the effect of the parameters such as pulp density, amount of chemical agents, particle size distribution, addition of methanol and pulp pH were investigated. Results showed that increasing pulp density negatively affects viscosity and al...
Citation Formats
S. Akeil, “Comparative study on ground vibrations prediction by statistical and neural networks approaches at Tunçbilek coal mine, panel byh,” M.S. - Master of Science, Middle East Technical University, 2004.