Soil Classification and Correlation of Laboratory CBR Values with CBR Value from Subgrade DCP Test on Reconstruction Project of Mirit – Tambakmulyo Road Section, Kebumen, Central Java

Authors

  • Agung Hari Wibowo Universitas Darul Ulum Islamic Centre Sudirman GUPPI Author
  • Khoirudin Fakhri Universitas Darul Ulum Islamic Centre Sudirman GUPPI Author

DOI:

https://doi.org/10.15294/jtsp.v26i2.2590

Keywords:

Bearing Capacity, Laboratory CBR, DCP, Subgrade

Abstract

The California Bearing Ratio (CBR) value has become the standard for determining the bearing capacity of soil,
especially subgrade, in highway construction. Usually expressed as a percentage, the CBR figure can be obtained in the laboratory (CBR Lab) or the field through the Dynamic Cone Penetrometer (DCP) test. This study examines the relationship between the Laboratory CBR and the Field CBR from the results of the DCP test on 12 soil samples obtained at the research location on the Mirit - Tambakmulyo Road Section (Kebumen Regency, Central Java). The samples were then analyzed using a mathematical formula to obtain a regression equation and correlation value. Based on the AASHTO method, the soil at the research location is classified as A-6 soil type, namely clay soil, with a general assessment of moderate to poor subgrade. For the USCS method, the most dominant soil classification is CL: non-organic clay with low to moderate plasticity, gravelly clay, sandy clay, and dusty clay. The Laboratory CBR value was obtained from 5.59% to 7.90%. Two samples have a CBR Value <6.00%, namely Sample 10 and Sample 11. Meanwhile, for the CBR value from the DCP test in the field, the CBR range is 5.11% to 12.96%. There is only one sample with a CBR Value <6.00%, namely sample 5, which has a CBR figure of 5.11%. The CBR value of 6.00% is the minimum subgrade requirement in the Manual Desain Perkerasan 2024 released by the Indonesian Directorate General of Highways. From the results of the regression calculation and correlation of Field CBR to Laboratory CBR, the equation y = -0.0614x + 7.1492 is obtained with a correlation coefficient (r) = -0.1862. The correlation pattern obtained is a weak negative direct correlation. The coefficient of determination (R2) = 0.035 indicates that the accuracy of the regression model is quite good. This study proves that the correlation between Field CBR value and Laboratory CBR is weak and not statistically significant.

References

Badan Standarisasi Nasional. (2012). SNI 1744:2012 Metode Uji CBR Laboratorium Badan Standardisasi Nasional. www.bsn.go.id

Bakri, M. D. (2020). Analisis Tebal Perkerasan Lentur Menggunakan Metode AASHTO 1993. Borneo Engineering : Jurnal Teknik Sipil, 4(1), 30–44. https://doi.org/10.35334/be.v4i1.1387

Bowles, J. E. (1981). Manual de Laboratorio De Suelos en Ingenieria Civil. McGraw-Hill.

Burhanuddin, & Junaidi. (2018). Hubungan Empiris Daya Dukung Tanah Dasar Menggunakan Alat Dynamic Cone Penetrometer (DCP) dan California Bearing Ratio (CBR) Rendaman untuk Desain Tebal Perkerasan Lentur Jalan Raya. Jurnal Teknik Sipil Universitas Syah Kuala, 1 Special Issue(3), 553–558. https://doi.org/10.24815/jts.v1i3.9994

Darmawan, T. N., Rustamaji, R. M., & Bachtiar, V. (2022). Korelasi Nilai CBR Laboratorium dan Nilai CBR Lapangan Dari Uji DCP Tanah Subgrade Pada Pembangunan Ruas Jalan Nanga Pinoh - Ela Hilir - Batas Kalimantan Tengah 1. JeLAST: Jurnal PWK, Laut, Sipil, Tambang, 9(3). https://doi.org/http://dx.doi.org/10.26418/jelast.v9i3.57533

Departemen Pekerjaan Umum. (1987). Petunjuk Perencanaan Tebal Perkerasan Lentur Jalan Raya Dengan Metode Analisa Komponen. Yayasan Badan Penerbit PU.

Hatmoko, J. T., & Suryadharma, H. (2020). Teknologi Perbaikan Tanah (1st ed.). Penerbit Andi.

Kementerian Pekerjaan Umum. (2010). Pedoman Cara Uji California Bearing Ratio (CBR) dengan Dynamic Cone Penetrometer (DCP).

Kementerian Pekerjaan Umum dan Perumahan Rakyat Direktorat Jenderal Bina Marga. (2017). Manual Desain Perkerasan Jalan.

Maharani, A. S. A., & Alexander, H. B. (2023, July 7). Perbaikan Jalan Daendels Pansela Telan Rp 133,5 Miliar. Kompas.Com. https://www.kompas.com/properti/read/2023/07/08/120000821/perbaikan-jalan-daendels-pansela-telan-rp-133-5-miliar

Mantiri, C. C., Sendow, T. K., & Manopo, M. R. E. (2019). Analisa Tebal Perkerasan Lentur Jalan Baru Dengan Metode Bina Marga 2017 Dibandingkan Metode AASHTO 1993. Jurnal Sipil Statik, 7(10), 1303–1316. https://ejournal.unsrat.ac.id/index.php/jss/article/view/26046/25685

Nur, K., Mahyuddin, Bachtiar, E., Tumpu, M., Mukrim, M. I., Irianto, Kadir, Y., Arifin, T. S. P., Ahmad, S. N., Masdiana, Halim, H., & Syukuriah. (2021). Perancangan Perkerasan Jalan (A. Karim & J. Simarmata, Eds.). Yayasan Kita Menulis.

Wilches, F. J., Jairo, J., Díaz, F., Rodrigo, J., & Ávila, H. (2018). Correlation Between California Bearing Ratio (CBR) and Dynamic Cone Penetrometer (DCP) for Soil from Sincelejo City in Colombia. International Journal of Applied Engineering Research, 13(4), 2068–2071. http://www.ripublication.com

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Article ID

2590

Published

2024-10-31