Title :
Assessment of lunar surface materials
Author :
Yayli, M. Ozgur ; Kandemir, Suheyla Yerel ; Toklu, Y. Cengiz
Author_Institution :
Dept. of Civil Eng. Turkey, Bilecik SE Univ., Bilecik, Turkey
Abstract :
Lunar exploration is very important in the world. Investigation of lunar surface materials such as Agglutinitic Glass (A), Morris Is/FeO (M), LSCC Is/FeO (L), Total Pyx (T) and Plagioclase (P) is increase last years. The prediction of lunar surface materials including A, M, L, T and P is significant. In this study, the A (one of the important materials in the moon) were predicted by applying the linear regression analysis model. The R2 and R2adj are calculated that 81.20% and 75.83%, respectively. Finally, it was concluded that A can reliably be predicted by using the linear regression analysis model.
Keywords :
lunar surface; Moon; agglutinitic glass; linear regression analysis model; lunar exploration; lunar surface material assessment; Analytical models; Civil engineering; Linear regression; Moon; Predictive models; Rocks; Soil; Agglutinitic Glass (A); Linear regression analysis; Lunar exploration; Lunar surface materials;
Conference_Titel :
Recent Advances in Space Technologies (RAST), 2015 7th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-7760-7
DOI :
10.1109/RAST.2015.7208306
