Mapping and modelling fractures using ground penetrating radar for ornamental stone assessment and recovery optimization: Two case studies

Authors

  • Mohamed Elkarmoty Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy
  • Camilla Colla Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy
  • Elena Gabrielli Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy
  • Sara Kasmaeeyazdi Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy
  • Francesco Tinti Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy
  • Stefano Bonduà Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy
  • Roberto Bruno Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy

DOI:

https://doi.org/10.17794/rgn.2017.4.7

Abstract

Rock mass is typically characterized by inherent fractures that cause natural blocks of rocks. Unplanned cutting of stone deposits in quarries may lead to over-producing waste (rock debris) or extracting unfi t (fractured) stone blocks. This paper presents two case studies through the use of low and high frequency Ground Penetrating Radar (GPR) antennas to detect fractures in two benches of a quarry. In the fi rst case study, a high frequency GPR antenna was used aiming to: (i) compare the GPR results with a map of the out-cropping fracture intensity in the bench surface, developed using the data of the GPR survey marks and interpolated by the Ordinary Kriging technique, and (ii) present how sub-vertical fractures can be numerically modelled in three dimensions from the GPR results. The second case study was focused on using a low frequency antenna to detect large aperture size of fracture surfaces as deep as possible in order to evaluate a deposit stratum before quarrying. This could be done through studying the refl ections from a 3D cross-sectional GPR model and
a 3D transparent GPR model. In the discussion section, an exploitation planning approach, based on modelling fractures as 3D surfaces, is theoretically and graphically proposed to optimize the stone production recovery. The two case studies showed that GPR is a successful tool for the assessment of ornamental stone deposits and a promising tool for recovery optimization.

Author Biographies

Mohamed Elkarmoty, Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy

PhD student

Camilla Colla, Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy

Adjunct Professor

Elena Gabrielli, Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy

Teaching Tutor 

Sara Kasmaeeyazdi, Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy

PhD student

Francesco Tinti, Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy

Junior assistant professor

Stefano Bonduà, Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy

Assistant professor

 

Roberto Bruno, Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 28, 40131 Bologna, Italy

Associate professor

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Published

2017-10-10

How to Cite

Elkarmoty, M., Colla, C., Gabrielli, E., Kasmaeeyazdi, S., Tinti, F., Bonduà, S., & Bruno, R. (2017). Mapping and modelling fractures using ground penetrating radar for ornamental stone assessment and recovery optimization: Two case studies. Rudarsko-geološko-Naftni Zbornik, 32(4), 63–76. https://doi.org/10.17794/rgn.2017.4.7

Issue

Section

Mining

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