A Survey on the Relationships between Compression Index, Coefficient of Consolidation, and Atterberg Limits

Year 2022, Volume: 7 Issue: 4, 302 - 315, 30.12.2022

Kaveh Dehghanıan , Sirin Ozkan Ipek

https://doi.org/10.47481/jscmt.1161504

Cited By: 1

Abstract

Correlations between compression index and atterberg limits found in the literature are very important for preliminary estimation. These equations are usually interpreted based on the R-square parameter and classified according to the conditions of the data (disturbed, undisturbed, remoulded, etc.). Although correlations reliable enough to eliminate oedometer tests are not yet fully available, these correlations can be useful in local calculations. In this study, correlations obtained from studies conducted after 2000 on the relationship of compression index and consolidation coefficient with atterberg limits and water content are mentioned and clearly shown. While the compression index equations are quite high in the literature, the equations produced with the consolidation coefficient are less in number. This is because consolidation calculations take a lot of time. Using 105 data obtained from researches in the literature, two equations were formed between the compression index, liquid limit and plasticity index. This study does not propose new equations, only relationships are generated using the Linear Regression method with data obtained from independent studies, based on the belief that the compression index has a stronger relationship with the liquid limit and plasticity index

Keywords

Compression Index, Atterberg Limits, Coefficient of Consolidation

References

• [1] Skempton, A. W., & Jones, O. T. (1944). Notes on the compressibility of clays. Quarterly Journal of the Geological Society, 100(1–4), 119–135. [CrossRef]
• [2] Terzaghi, K., & Peck R. B. (1967). Soil mechanics in engineering practice (2nd ed.). John Wiley & Sons.
• [3] Güllü, H., Canakci, H., & Alhashemy, A. (2016). Development of correlations for compression index. Afyon Kocatepe University Journal of Sciences and Engineering, 16(2), 344–355. [CrossRef]
• [4] Ng, K. S., Chew, Y. M., & Lazim, N. I. A. (2018). Prediction of Consolidation Characteristics from Index Properties. E3S Web of Conferences, 65, 06004. [CrossRef]
• [5] Kodicherla, S. P. K., & Kumar, N. D. (2016). Evaluation of coefficient of consolidation in CH soils. Jordan Journal of Civil Engineering, 10(4), 515-528.
• [6] Puri, N., Prasad, H. D., & Jain, A. (2018). Prediction of geotechnical parameters using machine learning techniques. Procedia Computer Science, 125, 509– 517. [CrossRef]
• [7] Solanki, C. H. (2012). Quick computation of settlement for shallow foundations of alluvial deposits. In International Conference on Chemical, Civil and Environment Engineering (ICCEE'2012), Planetary Scientific Research Centre, Dubai.
• [8] Sridharan, A., & Nagaraj, H. B. (2000). Compressibility behaviour of remoulded, fine-grained soils and correlation with index properties. Canadian Geotechnical Journal, 37(3), 712–722. [CrossRef]
• [9] Vinod, P., & Bindu, J. (2010). Compression index of highly plastic clays—an empirical correlation. Indian Geotechnical Journal, 40(3), 174–180.
• [10] Widodo, S., & Ibrahim, A. (2012). Estimation of primary compression index (Cc) using physical properties of Pontianak soft clay. International Journal of Engineering Research and Applications, 2(5), 2231–2235.
• [11] Zaman, W., Hossain, R., Shahin, H. (2017). Correlation studies between consolidation properties and some ındex properties for dhaka-chittagong highway soil. 1st International Conference on Engineering Research and Practice, 4-5 Feb 2017, Dhaka, Bangladesh.
• [12] Tiwari, B., & Ajmera, B. (2012). New correlation equations for compression İndex Of Remolded Clays. Journal of Geotechnical and Geoenvironmental Engineering, 138(6), 757–762. [CrossRef]
• [13] Nath, A., & DeDalal, S. (2004). The role of plasticity index in predicting compression behaviour of clays. Electronic Journal of Geotechnical Engineering, 9, 1–7.
• [14] Ansal, M. A., & Lav, M. A. (2001). Regression analysis of soil compressibility. Turkish Journal of Engineering and Environmental Sciences, 25(2), 101–109.
• [15] Yoon, G. L., Kim, B. T., & Jeon, S. S. (2004). Empirical correlations of compression index for marine clay from regression analysis. Canadian Geotechnical Journal, 41(6), 1213–1221. [CrossRef]
• [16] Akayuli, C. F. A., & Ofosu, B. (2013). Empirical mod-el for estimating Compression İndex from physical properties of weathered birimian phyllites. Electron-ic Journal of Geotechnical Engineering 18, 6135-6144.
• [17] Kumar, R., Jain, P. K., & Dwivedi, P. (2016). Prediction of compression index (Cc) of fine grained remolded soils from basic soil properties. International Journal of Applied Engineering Research, 11(1), 592–598.
• [18] Salih, N. B. (2020). Geotechnical characteristics correlations for fine-grained soils. IOP Conference Series: Materials Science and Engineering, 737(1), Article 012099. [CrossRef]
• [19] Al-Khafaji, A., Buehler, A., & Druszkowski, E. (2018). Validation of compression index approximations using soil liquid limit. In S. Hemeda, & M. Bouassida (Eds.), GeoMEast 2018: Contemporary ıissues in soil mechanics (pp. 31–34). Springer. [CrossRef]
• [20] Dway, S. M. M., & Thant, D. A. A. (2014). Soil compression index prediction model for clayey soils. International Journal of Scientific Engineering and Technology Research, 3(11), 2458–2462.
• [21] Laskar, A., & Pal, S. K. (2012). Geotechnical characteristics of two different soils and their mixture and relationships between parameters. Electronic Journal of Geotechnical Engineering, 17, 2821–2832.
• [22] Abbasi, N., Javadi, A. A., & Bahramloo, R. (2012). Prediction of compression behaviour of normally consolidated fine-grained soils. World Applied Sciences Journal, 18(1), 6–14.
• [23] Bartlett, S. F., & Lee, H. S. (2004). Estimation of compression properties of clayey soils, Salt Lake Valley, Utah. (Report No: UT-04.28.) Research Division Utah Department of Transportation. https://drive. google.com/file/d/1a6YESbeEfdQJy09wwwAvgH0aGbCaMvN_/view
• [24] McCabe, B. A., Sheil, B. B., Long, M. M., Buggy, F. J., & Farrell, E. R. (2014). Empirical correlations for the compression index of Irish soft soils. Proceedings of the Institution of Civil Engineers-Geotechnical Engineering, 167(6), 510–517. [CrossRef]
• [25] Nesamatha, R., & Arumairaj, P. D. (2015). Numerical modeling for prediction of compression index from soil index properties. Electronic Journal of Geotechnical Engineering, 20, 4369–4378.
• [26] Rashed, K. A., Salih, N. B., & Abdalla, T. A. (2017). Correlation of consistency and compressibility properties of soils in Sulaimani city. Sulaimania Journal for Engineering Sciences, 4(5), 86–94.
• [27] Al-Kahdaar, R. M., & Al-Ameri, A. F. I. (2010). Correlations between physical and mechanical properties of Al-Ammarah soil in Messan Governorate. Journal of Engineering, 16(4), 5946–5957.
• [28] Shaikh, M., Ahsan, K., & Ali Molla, K. (2014). Development of strength and compressibility correlations of cohesive soils of some regions in Khulna city. International Journal of Advanced Structure and Geotechnical Engineering, 3(3), 242–245.
• [29] Kootahi, K., & Moradi, G. (2017). Evaluation of compression index of marine fine-grained soils by the use of index tests. Marine Georesources & Geotechnology, 35(4), 548–570. [CrossRef]
• [30] Ara, S., Uddin, M. S., & Showkat, M. N. H. (2021). Correlation of compression index with index properties of soil samples from several places in Chattogram, Bangladesh. International Research Journal of Engineering and Technology, 8(2), 752–755.
• [31] Bello, A. A., Owoseni, J. O., & Fatoyinbo, I. O. (2019). Evaluation of plasticity and consolidation characteristics of migmatite–gneiss-derived laterite soils. SN Applied Sciences, 1(8), 1–11. [CrossRef]
• [32] Jain, V. K., Dixit, M., & Chitra, R. (2015). Correlation of plasticity index and compression index of soil. International Journal of Innovations in Engineering and Technology, 5(3), 263–270.
• [33] Alptekin, A., & Taga, H. (2019). Prediction of compression and swelling index parameters of quaternary sediments from index tests at Mersin District. Open Geosciences, 11(1), 482–491. [CrossRef]
• [34] Sari, P. T. K., Firmansyah, Y. K. (2013). The Empirical Correlation Using Linear Regression of Compression Index for Surabaya Soft Soil. World Congress on ASEM13, Jeju, Korea.
• [35] Kassou, F., Benbouziyane, J., Ghafiri, A., & Sabihi, A. (2017). Settlements and consolidation rates under embankments in a soft soil with vertical drains. International Journal of Engineering, 30(7), 972–980. [CrossRef]
• [36] Al-Tae’e, A. Y., & Al-Ameri, A. F. (2011). Estimation of relationship between coefficient of consolidation and liquid limit of middle and south Iraqi soils. Journal of Engineering, 17(3), 430–440.
• [37] Devi, S. P., Devi, K. R., Prasad, D. S. V., & Raju, G. V. R. P. (2015). Study on consolidation and correlation with index properties of different soils in Manipur valley. International Journal of Engineering Research and Development, 11(5), 57–63.
• [38] Sridharan, A., & Nagaraj, H. B. (2004). Coefficient of consolidation and its correlation with index properties of remolded soils. Geotechnical Testing Journal, 27(5), 469–474. [CrossRef]
• [39] Jadhav, G. (2016). Establishing relationship between coefficient of consolidation and index properties/ indices of remolded soil samples. International Journal of Advance Research in Science and Engineering, 5(12), 299–309.
• [40] Ibrahim, N. M., Rahim, N. L., Amat, R. C., Salehuddin, S., & Ariffin, N. A. (2012). Determination of Plasticity Index and Compression Index of soil at perlis. APCBEE Procedia, 4, 94–98. [CrossRef]
• [41] Jones, L. D., Hobbs, P. R. N. (2004). The shrinkage and swelling behaviour of UK soils: the clays of the Lambeth Group. (Report No: RR/04/001). British Geological Survey. https://webapps.bgs.ac.uk/data/publications/pubs.cfc?method=viewRecord&publnId= 19866440&topic=RP&series=RC&subseries=RR
• [42] Park, J. H., & Koumoto, T. (2004). New compression index equation. Journal of Geotechnical and Geoenvironmental Engineering, 130(2), 223–226. [CrossRef]