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Computers and Concrete Volume 10, Number 5, November 2012 , pages 457-467 DOI: https://doi.org/10.12989/cac.2012.10.5.457 |
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Regression-based algorithms for exploring the relationships in a cement raw material quarry |
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Bulent Tutmez and Ahmet Dag
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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. | ||
| Key Words | ||
| cement; quarry; regression-based modelling; spatial relationship. | ||
| Address | ||
| Bulent Tutmez: Department of Mining Engineering, Inonu University, 44280 Malatya, Turkey; Ahmet Dag: Department of Mining Engineering, Cukurova University, 01100 Adana, Turkey | ||