Computers and Concrete

Techno-Press (테크노프레스)
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Regression-based algorithms for exploring the relationships in a cement raw material quarry

  • Tutmez, Bulent (Department of Mining Engineering, Inonu University) ;
  • Dag, Ahmet (Department of Mining Engineering, Cukurova University)
  • Received : 2011.07.11
  • Accepted : 2012.05.10
  • Published : 2012.11.25
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Abstract

Using appropriate raw materials for cement is crucial for providing the required products. Monitoring relationships and analyzing distributions in a cement material quarry are important stages in the process. CaO, one of the substantial chemical components, is included in some raw materials such as limestone and marl; furthermore, appraising spatial assessment of this chemical component is also very critical. In this study, spatial evaluation and monitoring of CaO concentrations in a cement site are considered. For this purpose, two effective regression-based models were applied to a cement quarry located in Turkey. For the assessment, some spatial models were developed and performance comparisons were carried out. The results show that the regression-based spatial modelling is an efficient methodology and it can be employed to evaluate spatially varying relationships in a cement quarry.

Keywords

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