Digital Transformation Solution for Identification of Geotechnical Parameters Using Statistical Data Analysis

Document Type : Original Article

Authors

1 Faculty of Engineering, Cairo Uni

2 Department of Public Works, Faculty of Engineering, Cairo University, Giza, Egypt

Abstract

Currently, there is a large boom in the construction of new developments, infrastructure, and transportation projects in the Middle East. Geotechnical engineers are responsible to characterize the subsurface ground conditions, obtain design parameters and identify problematic subsurface ground conditions. Geospatial Information Systems combined with statistical algorithms can provide an efficient way for identifying soil parameters/hazards. GIS associates data with their location (coordinates). The spatial data analysis platform ArcGIS is used to determine soil parameters at unsampled locations. An automated workflow is developed to apply different interpolation algorithms providing engineers with an easy-to-use tool to determine the most accurate algorithm for use in a specific project. This technique is applied to assess the liquefaction potential in a project site in Dubai, United Arab Emirates. Four spatial data analysis algorithms: Inverse Distance Weighted (IDW), Natural Neighbour, Regularized Spline, and Tension Spline are applied to the measured data. The errors associated with the use of the different algorithms are computed and compared. The suitability of the use of different algorithms is discussed.

Keywords

ERJ. Engineering Research Journal
Volume 45, Issue 1
Vol. 45 (1) issued on 15/1/2022 in 6 parts: PART (1) Electrical Engineering, PART (2) Mechanical Engineering, PART(3) Production Engineering, PART(4) Civil Engineering PART(5) Basic Engineering Sciences and PART(6) Architecture Engineering.
January 2022
Pages 89-99

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