Evaluation of the Consolidation Parameters Obtained from Laboratory Tests for Numerical Modeling of Improved Soft Soil Using PVD at Semarang - Demak Toll Road, Indonesia
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The consolidation analysis becomes complicated when conducted on varying layers of soil. To simplify and solve these problems, designers often employ Finite Element Method (FEM) modeling, a widely used technique for analyzing geotechnical issues. However, many limitations associated with this method can lead to model results that do not accurately reflect actual conditions. Consequently, the consolidation settlement analysis during design may differ from actual conditions in the field. This study examines the influence of consolidation parameters and explores how to analyze consolidation settlement using FEM for practical applications. Specifically, consolidation settlement was assessed on the Semarang-Demak toll road, which utilizes a Preloading-PVD improvement method across nine Stationing (STA) locations with varying soil layers. Numerical modeling was performed using Midas GTS NX 2021 (V.1.1) and was validated against instrumentation observation results, Settlement Plate. An evaluation using the back analysis method was conducted to investigate the impact of consolidation parameters on the accuracy of the final consolidation settlement results. The consolidation parameters reviewed are the compression index (Cc) and recompression index (Cr). The findings indicate that the Cc and Cr significantly influence the final consolidation settlement. By optimizing these consolidation parameter values, the deviation between observed results and numerical modeling for final consolidation settlement is reduced to less than 1%. Additionally, this research derived empirical equations for calculating consolidation parameters based on the Liquid Limit, a fundamental laboratory test. The results of this study can be proposed to analyze consolidation settlement using FEM modeling for soft clay to stiff clay, providing valuable insights for practical applications.
Abbasi, N., Rahimi, H., Javadi, A.A., & Fakher, A. (2007). Finite difference approach for consolidation with variable compressibility and permeability. Computers and Geotechnics, 34(1), 41–52. https://doi.org/10.1016/j.compgeo.2006.09.003
Abuel-Naga, H.M., Bergado, D.T., & Gniel, J. (2015). Design chart for prefabricated vertical drains improved ground. Geotextiles and Geomembranes, 43(6), 537–546. https://doi.org/10.1016/j.geotexmem.2015.04.021
Alibeikloo, M., Isfahani, H.S., & Khabbaz, H. (2020). Effect of surcharge height and preloading time on long-term settlement of closed landfills: a numerical analysis. WIT Transactions on Ecology and the Environment, 247, 81–92. https://doi.org/10.2495/WM200081
Al-Khafaji, A.W.N., & Andersland, O.B. (1992). Equations for compresion index approximation. Journal of Geotechnical Engineering, 118(1), 148–153. https://doi.org/10.1061/(ASCE)0733-9410(1992)118:1(148)
Ayeldeen, M., Tschuchnigg, F., & Thurner, R. (2021). Case study on soft soil improvement using vertical drains-field measurements and numerical studies. Arabian Journal of Geosciences, 14(343), 1–10. https://doi.org/10.1007/s12517-021-06701-7
Bergado, D.T., Jamsawang, P., Jongpradist, P., Likitlersuang, S., Pantaeng, C., Kovittayanun, N., & Baez, F. (2022). Case study and numerical simulation of PVD improved soft Bangkok clay with surcharge and vacuum preloading using a modified air-water separation system. Geotextiles and Geomembranes, 50(1), 137–153. https://doi.org/10.1016/j.geotexmem.2021.09.009
Cao, Q., & Hang, Y. (2021). Settlement simulation of soft clay in the subway under dynamic load based on Midas GTS NX. E3S Web of Conferences, 237, 03011. https://doi.org/10.1051/e3sconf/202123703011
Chai, J.C., Shen, S.L., Miura, N., & Bergado, D.T. (2001). Simple method of modeling PVD-improved subsoil. J. Geotech. Geoenviron. Eng., 127(11), 965-972. https://doi.org/10.1061/(ASCE)1090-0241(2001)127:11(965).
Das, BM. (2010). Principles of Geotechnical Engineering (7th ed.). USA: Cengage Learning.
Díaz, E., & Spagnoli, G. (2024). A super-learner machine learning model for a global prediction of compression index in clays. Applied Clay Science, 249, 107239. https://doi.org/10.1016/j.clay.2023.107239
Elsawy, M.B.D., Alsharekh, M.F., & Shaban, M. (2022). Modeling undrained shear strength of sensitive alluvial soft clay using machine learning approach. Appl. Sci., 12, 10177. https://doi.org/10.3390/app121910177
Fakhimi, A., Salehi, D., & Mojtabai, N. (2004). Numerical back analysis for estimation of soil parameters in the Resalat Tunnel project. Tunnelling and Underground Space Technology, 19(1), 57–67. https://doi.org/10.1016/S0886-7798(03)00087-7
Fatmawati, R.E., Putra, P.P., & Nurtjahjaningtyas, I. (2023). Soil improvement and embankment stability using combination of preloading and prefabricated vertical drain (PVD), Study Case: Double Track Railway Sepanjang-Mojokerto Km. 48+800 To Km. 48+950. INERSIA, 19(1), 83–92. https://doi.org/10.21831/inersia.v19i1.58658
Hansbo, S. (1979). Consolidation of clay by band-shaped prefabricated drains. Ground Engineering, 12(5), 16–27.
Hansbo, S. (1981). Consolidation of fine-grained soils by prefabricated drains. Proceeding 10th International Conference on Soil Mechanics and Foundation Engineering 1, 677–682.
Hiep, H., & Chung, S.G. (2018). Back-analysis of geotechnical parameters on PVD-improved ground in the Mekong Delta. Geotextiles and Geomembranes, 46(4) 402–413. https://doi.org/10.1016/j.geotexmem.2018.03.005
Hird, C.C., Pyrah, I.C., & Russell, D. (1992). Finite element modelling of vertical drains beneath embankments on soft ground. Géotechnique, 42(3), 499–511. https://doi.org/10.1680/geot.1992.42.3.499
https://www.google.com/maps/ accessed by October 28th, 2024. Latitude: 6°55'48.7"S; Longitude: 110°37'24.8"E to Latitude:6°55'53.4"S; Longitude: 110°37'36.3"E
Islam, M.N., Gnanendran, C.T., & Sivakumar, S.T. (2012). Effectiveness of preloading on the time dependent settlement behaviour of an embankment. GeoCongress 2012, 2253–2262. https://doi.org/10.1061/9780784412121.231
Kumari, K., & Yadav, S., (2018). Linier regression analysis study. J Pract Cardiovasc Sci, 4(1), 33-36. https://doi.org/10.4103/jpcs.jpcs_8_18
Lam, L.G., Bergado, D.T., & Hino, T. (2015). PVD improvement of soft Bangkok clay with and without vacuum preloading using analytical and numerical analyses. Geotextiles and Geomembranes, 43(6), 547–557. https://doi.org/10.1016/j.geotexmem.2015.07.013
Le, T., Airey, D., & Surjadinata, J. (2018). Modelling the behaviour of the Ballina test embankment. Computers and Geotechnics, 93, 115-122. https://doi.org/10.1016/j.compgeo.2017.06.009
Lekha, K.R., Krishnaswamy, N.R., & Basak, P. (2003). Consolidation of clays for variable permeability and compressibility. Journal of Geotechnical and Geoenvironmental Engineering, 129(11), 1001–1009. https://doi.org/10.1061/(ASCE)1090-0241(2003)129:11(1001)
Liao, X., & Zhao, X. Physical characteristics of the compressibility of saturated cohesive soil. IOP Conf. Ser.: Earth Environ. Sci. 570 032029 (2020). https://doi.org/10.1088/1755-1315/570/3/032029
Look, B. (2007). Handbook of Geotechnical Investigation and Design Tables. London: Taylor & Francis Group.
Midas GTS NX. (2023). User Manual. MIDAS Information Technology Co., Ltd.
Muhammed, J.J., Jayawickrama, P.W., Teferra, A., & Ozer, M.A. (2020). Settlement of a railway embankment on PVD-Improved Karakore soft alluvial soil. Engineering Science and Technology, an International Journal, 23(5), 1015–1027. https://doi.org/10.1016/j.jestch.2020.03.004
National Standardization Agency, SNI 4153:2008: The standard test of field penetration test using SPT, 2008 (Text in Indonesian)
National Standardization Agency, SNI 2827:2008: The standard test of field penetration test using CPT, 2008 (Text in Indonesian)
National Standardization Agency, SNI 2812:2011: The standard test of one dimensional consolidation, 2008 (Text in Indonesian)
National Standardization Agency, SNI 1966:2008: The standard test of determination for plastics limit and plastivity index of soil., 2008 (Text in Indonesian)
Raturi, S., Nautiyal, A., & Bhatra, S. (2023). 1D consolidation of soil at Sumari Uttarakhand considering variable compressibility. IABSE Congress, New Delhi 2023: Engineering for Sustainable Development, Report, 1529–1535. https://doi.org/10.2749/newdelhi.2023.1529
Saputro, S.A., Muntohar, A.S., & Liao, H.J., (2018), Ground settlement prediction of embankment treated with prefabricated vertical drains in soft soil, Proceeding The 4th International Conference on Rehabilitation and Maintenance in Civil Engineering (ICRMCE 2018), MATEC Web of Conferences 195, 03014 (2018) https://doi.org/10.1051/matecconf/201819503014
Sari, U.C., Wardani, S.P.R., Muntohar, A.S., Partono, W., & Sadono, K.W. (2023). Consolidation settlement prediction and monitoring of toll road embankment at STA 23+650 Semarang–Demak toll road section. The Third International Conference of Construction, Infrastructure, and Materials (ICCIM 2023), E3S Web of Conferences 429, 04026. https://doi.org/10.1051/e3sconf/202342904026
Schober, P., Boer, C., & Schwarte, L.A. (2018). Correlation coefficients: appropriate use and interpretation. Anesthesia & Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864
Spross, J., & Larsson, S. (2021). Probabilistic Observational method for design of surcharges on vertical drains. Géotechnique, 71(3), 226–238. https://doi.org/10.1680/jgeot.19.P.053
Syahbana, A.J., & Sarah, D. (2013). Comparison of overconsolidated clay settlements calculated by analytical 1d Terzaghi consolidation and Biot numerical analysis. RISET, Geologi dan Pertambangan, 22(2), 81–91. https://doi.org/10.14203/risetgeotam2012.v22.60
Wong, L.S., & Somanathan, S. (2019). Analytical and numerical modelling of one-dimensional consolidation of stabilized peat. Civil Engineering Journal, 5(2), 398–411. http://dx.doi.org/10.28991/cej-2019-03091254
Zhafirah, A., Permana, S., Daris, M., & Yogawsara, D. (2021). Comparative analysis of soft soil consolidation time due to improvement using prefabricated vertical drain. IOP Conference Series: Materials Science and Engineering, 1098, 022056. https://doi.org/10.1088/1757-899X/1098/2/022056
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