• DocumentCode
    596289
  • Title

    An investigation of Beirut soil properties

  • Author

    Ibrahim, E. ; Massih, D.Y.A. ; Harb, Jinan

  • Author_Institution
    Dept. of Civil & Environ. Eng., Notre Dame Univ., Zouk Mosbeh, Lebanon
  • fYear
    2012
  • fDate
    12-15 Dec. 2012
  • Firstpage
    186
  • Lastpage
    191
  • Abstract
    The aim of this study is to set a foundation for mapping Beirut soils using available soil reports obtained from excavations. With the availability of a certain number of excavations and soil reports, one could attempt to gather soil data in order to understand the subbase and map the stratigraphy of the city. However, only a limited number of boreholes and soil data are available. Consequently, the use of innovative methods to analyze and assess limited numbers of heterogeneous data is necessary for developing countries where data is generally scarce. The paper investigates the available soil report data, specifically soil cohesion (c), soil friction angle (φ), and soil type classification. The results show that soil cohesion and the soil friction angle of Beirut have a high negative correlation r2 = -0.71. Then, a mixture of Gaussians (MG) clustering approach is utilized to find meaningful patterns in the data, and thus resulting in three categories according to which the soil is to be mapped in future work. The categories are related to ranges in values of c and φ and their corresponding soil types.
  • Keywords
    friction; geophysical techniques; soil; stratigraphy; terrain mapping; Beirut soil mapping; Beirut soil property investigation; MG clustering approach; borehole limited number; city stratigraphy mapping; city stratigraphy subbase; data meaningful patterns; developing countries; excavation report availability; heterogeneous data analysis; heterogeneous data assessment; high negative correlation; innovative methods; mixture of Gaussians clustering approach; soil cohesion; soil data gathering; soil data scarcity; soil friction angle; soil mapping categories; soil report availability; soil report data; soil type classification; Cities and towns; Correlation; Data models; Friction; Geology; Soil; Stress; classification; cohesion; friction; soil; unsupervised;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computational Tools for Engineering Applications (ACTEA), 2012 2nd International Conference on
  • Conference_Location
    Beirut
  • Print_ISBN
    978-1-4673-2488-5
  • Type

    conf

  • DOI
    10.1109/ICTEA.2012.6462863
  • Filename
    6462863