| dc.contributor.author |
Tutmez, B |
|
| dc.contributor.author |
Dag, A |
|
| dc.date.accessioned |
2022-10-19T07:34:03Z |
|
| dc.date.available |
2022-10-19T07:34:03Z |
|
| dc.date.issued |
2012 |
|
| dc.identifier.uri |
http://hdl.handle.net/11616/81062 |
|
| dc.description.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. |
|
| dc.description.abstract |
C1 [Tutmez, Bulent] Inonu Univ, Dept Min Engn, TR-44280 Malatya, Turkey. |
|
| dc.description.abstract |
[Dag, Ahmet] Cukurova Univ, Dept Min Engn, TR-01100 Adana, Turkey. |
|
| dc.source |
COMPUTERS AND CONCRETE |
|
| dc.title |
Regression-based algorithms for exploring the relationships in a cement |
|
| dc.title |
raw material quarry |
|