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

Download

index.pdf

Date

2004

Author

Akeil, Salah

Metadata

Show full item record

Item Usage Stats

145
views

148
downloads

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.

Subject Keywords

Mining engineering.

URI

http://etd.lib.metu.edu.tr/upload/12605058/index.pdf
https://hdl.handle.net/11511/14156

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

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...
Production of heavy-media-quality magnetite concentrate from Kesikköprü iron ore tailings Güngör, Kazım; Atalay, M Ümit; Department of Mining Engineering (2010) 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 Karahan, Ercüment; Bilgin, Hasan Aydın; Department of Mining Engineering (2010) In this thesis, suggestion of appropriate excavation and support systems and selection of rock mass strength parameters for the determination of these systems were carried out for the Çubukbeli Tunnel in Antalya. Çubukbeli Tunnel is a twin tube flute shaped tunnel with 1985 m length, 12 m width, 10 m height and maximum overburden thickness of 130 m. The tunnel area consists of limestone, clayey limestone, claystone, marl and siltsone. Rock mass classification systems are used for evaluation of rock mass cha...
Synthesis and characterization of bulk glass-forming iron-boron based alloy systems Gürbüz, Selen Nimet; Akdeniz, Mahmut Vedat; Department of Metallurgical and Materials Engineering (2004) The aim of this study, which was carried out in two main parts, is to investigate the glass forming ability of Fe-based systems. The first part involves the theoretical modeling to cover the requirement of a predictive model to identify the Fe-based alloy families that have high glass forming ability in the frame of atomistic and thermodynamic approach. The second part involves the experimental investigations to prove the results of the conducted theoretical modeling studies. For this purpose, in the first ...
Development of a ventilation model for the g field of Çayırhan coal mine 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. ...

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.