Lithological classification of cement quarry using discriminant algorithms
| Autor: | Bulent Tutmez |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Cement
0211 other engineering and technologies Metals and Alloys General Engineering Spatial system 02 engineering and technology Raw material 010502 geochemistry & geophysics Linear discriminant analysis 01 natural sciences chemistry.chemical_compound Discriminant chemistry Marl Pattern recognition (psychology) Calcium oxide Algorithm Geology 021102 mining & metallurgy 0105 earth and related environmental sciences |
| Zdroj: | Journal of Central South University. 26:719-727 |
| ISSN: | 2227-5223 2095-2899 |
| DOI: | 10.1007/s11771-019-4042-6 |
| Popis: | As such in any industrial raw material site characterization study, making a lithological evaluation for cement raw materials includes a description of physical characteristics as well as grain size and chemical composition. For providing the cement components in accordance with the specifications required, making the classification of the cement raw material pit is needed. To make this identification in a spatial system at a quarry stage, the supervised pattern recognition analysis has been performed. By using four discriminant analysis algorithms, lithological classifications at three levels, which are with limestone, marly-limestone (calcareous marl) and marl, have been made based on the main chemical components such as calcium oxide (CaO), alumina (Al2O3), silica (SiO2), and iron (Fe2O3). The results show that discriminant algorithms can be used as strong classifiers in cement quarry identification. It has also recorded that the conditional and mixed classifiers perform better than the conventional discriminant algorithms. |
| Databáze: | OpenAIRE |
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