EN
A Survey on the Relationships between Compression Index, Coefficient of Consolidation, and Atterberg Limits
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
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]
Details
Primary Language
English
Subjects
Civil Engineering
Journal Section
Research Article
Publication Date
December 30, 2022
Submission Date
August 12, 2022
Acceptance Date
November 7, 2022
Published in Issue
Year 1970 Volume: 7 Number: 4
APA
Dehghanıan, K., & Ozkan Ipek, S. (2022). A Survey on the Relationships between Compression Index, Coefficient of Consolidation, and Atterberg Limits. Journal of Sustainable Construction Materials and Technologies, 7(4), 302-315. https://doi.org/10.47481/jscmt.1161504
Cited By
Evaluation of dependency of compression index on toughness limit for fine-grained soils
Neural Computing and Applications
https://doi.org/10.1007/s00521-023-08292-8Assessing the Geotechnical Properties of Lime-Stabilized Black Cotton Soil in the Presence of Nanosilica
International Journal of Geomechanics
https://doi.org/10.1061/IJGNAI.GMENG-10355