A STATISTICAL APPROACH TO DCPT DATA IN DETERMINING SUBGRADE PARAMETERS FOR ROAD PAVEMENTS

Nursaid; Budi Witjaksana; Hanie Teki Tjendani

doi:10.21009/jpensil.v15i3.67452

Authors

Nursaid Department of Civil Engineering, Faculty of Engineering, Universitas 17 Agustus 1945 Surabaya
Budi Witjaksana Department of Civil Engineering, Faculty of Engineering, Universitas 17 Agustus 1945 Surabaya
Hanie Teki Tjendani Department of Civil Engineering, Faculty of Engineering, Universitas 17 Agustus 1945 Surabaya

DOI:

https://doi.org/10.21009/jpensil.v15i3.67452

Keywords:

DCPT, CBR, Subgrade, Statistical Analysis, SPSS, Road Pavement

Abstract

This study examines the characteristics of the road base layer in pavement construction using a statistical method based on Dynamic Cone Penetration Test data. The subgrade condition must be accurately assessed to avoid premature pavement failure, such as cracking and settlement. Field investigations were conducted at a number of sites with various types of soil. However, due to access restrictions, only two main sites were tested. Consequently, this paper presents a local preliminary analysis rather than a broad regional one. The results show that the subgrade has low load-bearing capacity, with CBR values between 1.56% and 2.48%. The upper part of the soil, down to 50 cm depth, is generally softer than the lower layers, as observed during the tests. SPSS was used to analyze the data, which showed a very strong correlation between DCPT and CBR values. The correlation coefficient (R) was 0.999 and the R-Square value was 0.998. The regression equation, CBR = 149.668 – 32.557(DCPT), shows that CBR values decrease with increasing penetration values. These results indicate that the subgrade in the study area is poor. Stabilization or further compaction is suggested before pavement construction. The regression model developed in this study is for a particular site and it is suggested that the model be validated using other data sets to check its performance at other sites.

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