EVALUATING CONSOLIDATION SETTLEMENT OF SOFT SOILS: A COMPARATIVE ANALYSIS OF EMPIRICAL FORMULAS
DOI:
https://doi.org/10.11113/aej.v15.22748Keywords:
consolidation settlement, Compression index, Empirical formula, Field test, Kijing PortAbstract
The problem of soft upper soil on port construction leads to several serious issues such as cracking, fracturing, landslides, and structural failure due to consolidation settlement. Moreover, reliably estimating the magnitude of settlement is challenging. Therefore, research towards a more reliable method to predict embankment settlement on soft soil is required. An essential factor in predicting soil settlement is the compression index (Cc). Several researchers have introduced the empirical formula to conduct Cc to generate the optimum prediction of settlement consolidation. However, the appropriate results differ with different formulas in various locations. Kijing Port, located in Pontianak Regency, West Borneo, Indonesia, has a soft soil issue. Fourteen boreholes provided Cc from the laboratory, which divides into three zonas, A, B, and C, with 3-8 settlement plate investigations for each Zona. This paper aims to evaluate consolidation settlement based on Cc using several formulas from empirical equations, field instrumentation monitoring, and laboratory results in the Kijing Port Construction Area. Twenty various empirical formulas were analyzed to obtain the magnitude of settlement, which included soil properties such as void ratio, Atterberg limit, specific gravity and water content, divided into two categories, namely Normally consolidated (NC) and over-consolidated (OC) soil. The results show the different result among the source of Cc due to limited data and other factors like calculation mistakes in the lab, the Cc existing data from the laboratory produces varied values when field investigated from SPT soil sampling. This circumstance suggests that comprehensive soil compression and other important data variables are necessary in order to assure development in the field and to acquire correct soil settlement calculation prediction. The general output is also suggested to generate a comprehensive understanding of the soil compression properties of clay in the port project in West Borneo, Indonesia
References
Nguyen, T.N., T.D. Nguyen, T.S. Bui. 2021. Geotechnical Properties of Soft Marine Soil at Chan May Port, Vietnam. Inzynieria Mineralna, 1. DOI: https://doi.org/10.29227/IM-2021-02-18.
Wahyudi, H., Y. Lastiasih, T.R. Satrya, M. Arif, P.T.K. Sari. 2021. The Comparison Of The Soft Clay Settlement Under An Embankment Load Using Field Instrumentation And Empirical Formulation. International Journal Of GEOMATE, 21: 93-102. DOI: https://doi.org/10.21660/2021.84.j2151.
Fitri, S.N., F. Wahyuni. 2022. Safety Factors Investigation Based on FEM and LEM Approach in Toll Road Embankment Slope. Civil Engineering and Architecture, 10: 1948–1966. https://doi.org/10.13189/cea.2022.100518.
[4] Li, S., Z.Q. Yue, L.G. Tham, C.F. Lee, S.W. Yan. 2005. Slope failure in underconsolidated soft soils during the development of a port in Tianjin, China. Part 1: Field investigation. Canadian Geotechnical Journal, 42: 147-165. https://doi.org/10.1139/t04-089.
Indraratna, B., C. Rujikiatkamjorn, P. Baral, J. Ameratunga. 2019. Performance of marine clay stabilised with vacuum pressure: Based on Queensland experience. Journal of Rock Mechanics and Geotechnical Engineering, 11. DOI: https://doi.org/10.1016/j.jrmge.2018.11.002.
Ha, T. 2020. Lach Huyen port infrastructure project and soil improvement works. Geotechnical Engineering, 51: 12–19. DOI: https://doi.org/10.14456/seagj.2020.60
Indraratna, B., Baral, P., Rujikiatkamjorn, C., Nguyen, T.T. 2019. Soft Ground Improvement—Theoretical, Experimental, Numerical and Field Studies. In: Latha G., M. (eds) Frontiers in Geotechnical Engineering. Developments in Geotechnical Engineering. Springer, Singapore DOI: https://doi.org/10.1007/978-981-13-5871-5_10
Nazir, R., H. Moayedi, P. Subramaniam, S.S. Gue. 2017. Field performance of transition rigid piled embankment with surcharged vertical drain over soft ground. International Journal of Geomate, 13: 151-155. DOI: https://doi.org/10.21660/2017.35.60892.
Nazir, R., H. Moayedi, P. Subramaniam, S.S. Gue. 2018. Application and Design of Transition Piled Embankment with Surcharged Prefabricated Vertical Drain Intersection over Soft Ground. Arabian Journal for Science and Engineering, 43: 1573-1582. DOI: https://doi.org/10.1007/s13369-017-2628-6.
Siti Nurlita Fitri. 2022. Desain Perbaikan Tanah Dasar, Pangkal Jembatan, Oprit dan Pondasi pada Jembatan Sungai Babakan pada Proyek Jalan Tol Pejangan-Pemalang, Media Sains Indonesia
PH, T. 2017. Research on Correlation between Compression index (Cc) and Other Properties of Soil for Geotechnical Design in Coastal Regions of Viet Nam and Cambodia. MOJ Civil Engineering, 2: 97-101. DOI: https://doi.org/10.15406/mojce.2017.02.00034.
Fakharian, K., A. Mehdizadeh. 2015. Investigation of field instrumentation in a preloading project. Proceedings of the Institution of Civil Engineers: Geotechnical Engineering, 168: 87-98. DOI: https://doi.org/10.1680/geng.13.00018.
Wahono, D. 2015. Terminal Petikemas pada Pelabuhan Internasional Pantai Kijing di Kecamatan Sungai Kunyit Kabupaten Pontianak. Jurnal Online Mahasiswa Arsitektur Universitas Tanjungpura, 3. 37-55. DOI: https://doi.org/10.26418/jmars.v3i1.9798
Habibbeygi, F., H. Nikraz, F. Verheyde. 2017. Determination of the compression index of reconstituted clays using intrinsic concept and normalized void ratio. International Journal of Geomate, 13: 54-60. DOI: https://doi.org/10.21660/2017.39.98271.
Jain, V.K., M. Dixit, R. Chitra. 2015. Correlation of Plasticity Index and Compression Index of Soil. International Journal of Innovations in Engineering and Technology, 5: 263-270
Sridharan, A., H.B. Nagaraj. 2004. Coefficient of consolidation and its correlation with index properties of remolded soils. Geotechnical Testing Journal, 27: 469-474 DOI: https://doi.org/10.1520/gtj10784.
Danial Mohammadzadeh, S., S.F. Kazemi, A. Mosavi, E. Nasseralshariati, J.H.M. Tah. 2019. Prediction of compression index of fine-grained soils using a gene expression programming model. Infrastructures, 4: 1-12. DOI: https://doi.org/10.3390/infrastructures4020026.
Park, H. Il, S.R. Lee. 2011. Evaluation of the compression index of soils using an artificial neural network. Computers and Geotechnics, 38 472-481. DOI: https://doi.org/10.1016/j.compgeo.2011.02.011.
Mayne, P.W. 1980. Cam-clay predictions of undrained strength. Journal of the Geotechnical Engineering Division, ASCE, 106: 1219-1242. DOI: https://doi.org/10.1061/ajgeb6.0001060.
Wroth, C.P., D.M. Wood. 1978. Correlation Of Index Properties With Some Basic Engineering Properties Of Soils. Canadian Geotechnical Journal, 15: 137-145. DOI: https://doi.org/10.1139/t78-014.
Azzouz, A.S., R.J. Krizek, R.B. Corotis. 1976. Regression Analysis Of Soil Compressibility. Soils and Foundations, 16: 19-29 DOI: https://doi.org/10.3208/sandf1972.16.2_19.
SOWERS, G.B., G.F. SOWERS. (1951). Introductory Soil Mechanics and Foundations. Soil Science, 72: 405 DOI: https://doi.org/10.1097/00010694-195111000-00014.
Trask, P.D. 1949. Soil Mechanics in Engineering Practice. Karl Terzaghi, Ralph B. Peck. The Journal of Geology, 57: 622. DOI: https://doi.org/10.1086/625679.
Mohammadzadeh S., D., J. Bolouri Bazaz, A.H. Alavi 2014. An evolutionary computational approach for formulation of compression index of fine-grained soils. Engineering Applications of Artificial Intelligence, 33: 58-68. DOI: https://doi.org/10.1016/j.engappai.2014.03.012.
Shimobe, S., G. Spagnoli. 2022. A General Overview on the Correlation of Compression Index of Clays with Some Geotechnical Index Properties. Geotechnical and Geological Engineering, 40: 311-324 DOI: https://doi.org/10.1007/s10706-021-01888-8.
Fan, R., J. Liu, S. Liu, Y. Du, M. Liu, S. You. 2021. Predicting the Compression Index of Saturated Reconstituted Contaminated Clays Using Index Properties. KSCE Journal of Civil Engineering, 25: 3289-3297DOI: https://doi.org/10.1007/s12205-021-1577-5.
Alam, M.K., N. Islam, M.Z. Abedin, M.S. Islam, R. Dey, A.J. Valsangkar. (2022). Prediction of compressibility and shear strength behaviour of in-situ cohesive soil from reconstituted clay. International Journal of Geotechnical Engineering, 16: 655-669. DOI: https://doi.org/10.1080/19386362.2022.2049048.
Sari, P.T.K., Y.K. Firmansyah. 2013. The Empirical Correlation Using Linear Regression of Compression Index for Surabaya Soft Soil. The 2013 World Congress on Advances in Structural Engineering and Mechanics (ASEM13)
Mohsen Farzi. 2017. Suggesting a Formula to Calculate the Compression Index in Ahvaz. Indian Journal of Science and Technology. 10: 1-8. DOI: 10.17485/ijst/2017/v10i32/106232
Habibbeygi, F., H. Nikraz. 2018. Characterisation of the undrained shear strength of expansive clays at high initial water content using intrinsic concept. International Journal of GEOMATE, 14: 176-182 DOI: https://doi.org/10.21660/2018.44.41572.
Daoud, W.A., K. Kasama, N.M. Saleh, A.M. Negm. 2016. Statistical Evaluation Of Geotechnical Correlations. International Journal of GEOMATE, 10 1929-1935. DOI:https://doi.org/10.21660/2016.21.5398.
Skempton, A.W. 1946. Notes on the compressibility of clays. Quarterly Journal of the Geological Society of London, 102: 205-209. DOI: https://doi.org/10.1144/GSL.JGS.1946.102.01-04.10.
Nishida, Y. 1956. A Brief Note on Compression Index of Soil. Journal of the Soil Mechanics and Foundations Division, 82: 3. DOI: https://doi.org/10.1061/jsfeaq.0000015.
Cozzolino, V.M. 1961. Statistical forecasting of compression index, in: The Fifth International Conference on Soil Mechanics and Foundation Engineering, Paris, 51–53.
Yune, C.-Y., G. Olgun. 2016. Effect of Layering on Total Consolidation Settlement of Normally Consolidated Clay in 1D Conditions. Journal of Geotechnical and Geoenvironmental Engineering, 142: 2 DOI: https://doi.org/10.1061/(asce)gt.1943-5606.0001415.
Bowles, J.E. 1981. Physical and geotechnical properties of soils. Physical and Geotechnical Properties of Soils. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts. 18(6): 109. DOI: https://doi.org/10.1016/0148-9062(81)90529-5.
Salem, M., R. El-Sherbiny. 2014. Comparison of measured and calculated consolidation settlements of thick underconsolidated clay. Alexandria Engineering Journal, 53: 107-117 DOI: https://doi.org/10.1016/j.aej.2013.11.002.
Nazir, R., N. Sukor, H. Niroumand, K.A. Kassim. 2013. Performance of soil instrumentation on settlement prediction. Soil Mechanics and Foundation Engineering, 50: 61-64. DOI: https://doi.org/10.1007/s11204-013-9211-2.
Ibrahim, N.M., N.L. Rahim, R.C. Amat, S. Salehuddin, N.A. Ariffin. 2012. Determination of Plasticity Index and Compression Index of Soil at Perlis. APCBEE Procedia, 4: 94-98. DOI: https://doi.org/10.1016/j.apcbee.2012.11.016.
Jain, V.K., M. Dixit, R. Chitra. 2015. Correlation of Plasticity Index and Compression Index of Soil. International Journal of Innovations in Engineering and Technology, 5: 263-270
Al-Khafaji, A.W.N., O.B. Andersland. 1992. Equations for compression index approximation. Journal of Geotechnical Engineering, 118: 148. DOI: https://doi.org/10.1061/(ASCE)0733-9410(1992)118:1(148).
Liu, S., G. Cai, A.J. Puppala, Q. Tu. 2011. Prediction of embankment settlements over marine clay using piezocone penetration tests. Bulletin of Engineering Geology and the Environment, 70: 401-409. DOI: https://doi.org/10.1007/s10064-010-0329-4.
Webster, R. 2007. Interpreting Soil Test Results: What do all the Numbers mean? - by P. Hazelton & B.Murphy. European Journal of Soil Science, 58: 1219-1220. DOI: https://doi.org/10.1111/j.1365-2389.2007.00943_8.x.
