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      Correlation between SPT and CPT for Sandy Soils in Port Sudan City using the Linear Regression Model



            In geotechnical engineering, in-situ tests, like standard penetration test (SPT) and cone penetration test (CPT), are essential to evaluate the underground conditions. SPT is a frequently used geotechnical approach, while CPT is considered one of the best exploration apparatuses. However, there is a demand for a correlation of SPT-CPT that can be used in the geotechnical design. This research aimed to find the relationships between the standard penetration test’s blow count (N) and cone penetration test’s tip resistance (qc) for different groups of sandy soils in Port Sudan city, Sudan. The data used in this study was attained from numerous projects conducted in the city to identify the underground conditions. The values of the SPT and CPT tests were compared and tried to generate specific statistical data. The correlations were established between qc and N for various soils. Uphill linear relationships wear found between qc and N for different sandy soils. These results were interpreted based on their correlation coefficients. The study proposed formulas to predict qc from N for three soil groups, with a high correlation coefficient. Besides, qc/N ratios were calculated for different soil groups; the current research results agree with those in the published literature with less high values.


            Author and article information

            African Journal of Engineering & Technology
            Sudanese Researchers Foundation
            6 May 2022
            : 2
            : 1
            [1 ] Department of engineering geology, college of petroleum geology and minerals, University of Bahri, P.O Box 2469, Khartoum –Sudan
            [2 ] Engineering Research Center of Rock - Soil Drilling Excavation and Protection, Ministry of Education, China University of Geosciences, Wuhan, Hubei 430074, China
            [3 ] Department of Chemistry and Earth Science, College of Arts & Science, Qatar University, Doha, Qatar
            [4 ] Sea Ports Corporation, Engineering Tests Lab, Port Sudan, Sudan
            [5 ] Department of earth sciences, Faculty of Sciences, Sultan Qaboos University, 36, PC: 123, Al-Khodh, Sultanate of Oman.
            Author notes

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            SPT,CPT,Correlation,Linear regression,Sands,Port Sudan


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