• DocumentCode
    1679726
  • 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
  • fYear
    2015
  • Firstpage
    7
  • Lastpage
    9
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Space Technologies (RAST), 2015 7th International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-7760-7
  • Type

    conf

  • DOI
    10.1109/RAST.2015.7208306
  • Filename
    7208306
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1679726