Pengaruh Fluktuasi Muka Air Tanah terhadap Parameter CPT ternormalisasi dan Klasifikasi Soil Behavior Type (SBT)
DOI:
https://doi.org/10.52722/699t5t53Kata Kunci:
CPT, Qtn, muka air tanah, tegangan efektif, SBTAbstrak
Fluktuasi muka air tanah merupakan salah satu faktor yang mempengaruhi kondisi tegangan efektif tanah dan berpotensi memengaruhi interpretasi parameter geoteknik berbasis Cone Penetration Test (CPT). Penelitian ini bertujuan untuk menganalisis pengaruh fluktuasi muka air tanah terhadap nilai stress-normalized cone resistance ( ) serta implikasinya terhadap klasifikasi Soil Behavior Type (SBT). Data yang digunakan berasal dari tiga titik CPT (S-05, S-10, dan S-11) di Kota Magelang, dengan simulasi variasi muka air tanah pada kedalaman 1 m, 2 m, 3 m, dan 4 m. Analisis dilakukan melalui perhitungan tegangan vertikal efektif, normalisasi parameter CPT, serta evaluasi perubahan nilai dan klasifikasi SBT. Hasil penelitian menunjukkan bahwa fluktuasi muka air tanah berpengaruh signifikan terhadap nilai , dimana kondisi muka air tanah yang lebih dangkal menghasilkan nilai yang lebih besar akibat penurunan tegangan efektif. Persentase perubahan mencapai hingga 181,56% pada kedalaman tertentu dan menunjukkan pola yang konsisten pada seluruh titik CPT. Meskipun demikian, perubahan nilai tidak selalu diikuti oleh perubahan klasifikasi SBT yang signifikan pada seluruh kedalaman. Penelitian ini menegaskan pentingnya mempertimbangkan kondisi muka air tanah dalam interpretasi parameter CPT ternormalisasi dan analisis geoteknik.
Unduhan
Referensi
[1] J. Lu, T. Li, and L. Wang, “Precipitation diurnal cycle over the maritime continent modulated by the climatological annual cycle,” J. Clim., vol. 34, no. 4, pp. 1387–1402, Feb. 2021, doi: 10.1175/JCLI-D-20-0130.1.
[2] K. dan G. (BMKG) Badan Meteorologi, “Prediksi Musim Hujan 2025/2026 di Indonesia,” Jakarta, Sep. 2025. [Online]. Available: www.bmkg.go.id
[3] M. J. Ascott et al., “Time of emergence of impacts of climate change on groundwater levels in sub-Saharan Africa,” J. Hydrol. (Amst)., vol. 612, Sep. 2022, doi: 10.1016/j.jhydrol.2022.128107.
[4] Z. Zhang et al., “Effects of changes in soil properties caused by progressive infiltration of rainwater on rainfall-induced landslides,” Catena (Amst)., vol. 233, Dec. 2023, doi: 10.1016/j.catena.2023.107475.
[5] A. Alihudien and P. Priyono, “Identification of Soil Types of Areas Near the Puger Coast Using the 1990 Robertson Soil Classification Chart,” vol. 08, no. 02, pp. 133–143, Dec. 2023, [Online]. Available: http://ejurnal.unmuhjember.ac.id/index.php/HEXAGON
[6] S. Collico, M. Arroyo, M. Devincenzi, A. Rodriguez, and A. Deu, “Probabilistic delineation of soil layers using Soil Behavior Type Index,” in Cone Penetration Testing 2022 - Proceedings of the 5th International Symposium on Cone Penetration Testing, CPT 2022, CRC Press/Balkema, 2022, pp. 332–338. doi: 10.1201/9781003308829-44.
[7] S. Rauter and F. Tschuchnigg, “Cpt data interpretation employing different machine learning techniques,” Geosciences (Switzerland), vol. 11, no. 7, Jul. 2021, doi: 10.3390/geosciences11070265.
[8] Y. Zhang, X. Ma, C. Ji, X. Zhang, W. Li, and M. Yang, “Case study on interpretation of cone penetration tests in sandy soil layers,” in Geotechnical Engineering Challenges to Meet Current and Emerging Needs of Society, CRC Press, 2024, pp. 2047–2051. doi: 10.1201/9781003431749-385.
[9] B. J. Ramaiah, G. V. Ramana, M. Datta, and P. K. Robertson, “Geotechnical characterization of municipal solid waste via cone penetration testing – A case study from landfills in Delhi, India,” Waste Management, vol. 200, Jun. 2025, doi: 10.1016/j.wasman.2025.114750.
[10] Y. xiao Wang, G. yin Du, T. Ma, Y. min Xiong, and Y. Xiao, “Engineering geological classification of gravelly deposits based on enhanced CPT,” Eng. Geol., vol. 364, Mar. 2026, doi: 10.1016/j.enggeo.2026.108588.
[11] O. Zinas, I. Papaioannou, R. Schneider, and P. Cuéllar, “Multivariate Gaussian Process Regression for 3D site characterization from CPT and categorical borehole data,” Eng. Geol., vol. 352, Jun. 2025, doi: 10.1016/j.enggeo.2025.108052.
[12] Z. Yang, X. Liu, L. Guo, Y. Cui, X. Su, and X. Ling, “Soil classification and site variability analysis based on cpt—a case study in the yellow river subaquatic delta, China,” J. Mar. Sci. Eng., vol. 9, no. 4, Apr. 2021, doi: 10.3390/jmse9040431.
[13] H. Li, M. Duan, X. Yang, R. Wang, and Z. Ouyang, “Modified CPTU parameters and SBTn chart for predicting shear behavior of organic soils at large strains,” Eng. Geol., vol. 356, Sep. 2025, doi: 10.1016/j.enggeo.2025.108273.
[14] W. Liu and M. Ghafghazi, “Evaluation of state parameter interpretation methods using CPT calibration chamber data,” Geotechnical Research, vol. 11, no. 4, pp. 226–242, Oct. 2024, doi: 10.1680/jgere.23.00072.
[15] Braja M. Das, Principles of Geotechnical Engineering, 7th Edition. Stamford, USA: Cengage Learning, 2010.
[16] P. K. Robertson and K. Cabal, “CONE PENETRATION TESTING GUIDE,” Signal Hill, California, 2022. [Online]. Available: www.greggdrilling.com


