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
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