Influence of Clay Mineralogy on the Index and Strength Properties of Soil


Abstract views: 21 / PDF downloads: 45

Authors

  • Muhammad Khalil University of Engineering and Technology Taxila
  • Kashif Riaz University of Engineering and Technology Taxila

Keywords:

California Bearing Ratio Maximum Dry Density, Optimum Moisture, Soil Index Properties, X-Ray Diffraction

Abstract

The California Bearing Ratio (CBR) test is an important method used in civil engineering to
evaluate soil strength and bearing capacity, specifically for the design of flexible pavements. Soil strength
and stiffness are influenced by the type and amount of clay minerals present in the soil matrix, including
illite, kaolinite, montmorillonite, vermiculite, and quartz. In this study, the influence of clay mineralogy,
strength and index parameters (CBR and Atterberg Limits) was investigated through laboratory tests on
soil samples. Results showed that the amount of clay minerals present in the soil is an important factor in
determining soil strength and bearing capacity. Soils with high illite content demonstrated higher CBR
and Atterberg Limits values compared to soils with higher amounts of other minerals, which tend to have
a higher water-holding capacity and lower values, while soil having higher montmorillonite content tends
to have lower CBR and Atterberg Limits due to its swelling and expansive characteristics. Understanding
the effect of clay mineralogy on soil properties, particularly CBR and index properties is vital for
constructing safe and cost-effective roads. Further research is needed to explore the influence of different
types of clay minerals, soil strength and index properties.

Downloads

Download data is not yet available.

Author Biographies

Muhammad Khalil, University of Engineering and Technology Taxila

Department of Civil Engineering, 

Kashif Riaz, University of Engineering and Technology Taxila

Department of Civil Engineering

References

Nagaraj, H. and M. Suresh, Influence of clay mineralogy on the relationship of CBR of fine-grained soils with their index and engineering properties. Transportation Geotechnics, 2018. 15: p. 29-38.

Zumrawi, M.M., Prediction of CBR value from index properties of cohesive soils. 2012.

Black, W., The strength of clay subgrades: its measurement by a penetrometer. 1979.

Nagaraj, H., Prediction of engineering properties of fine-grained soils from their index properties. 2006.

Prakash, K. and A. Sridharan, Free swell ratio and clay mineralogy of fine-grained soils. Geotechnical Testing Journal, 2004. 27(2): p. 220-225.

Rakaraddi, P. and V. Gomarsi, Establishing relationship between CBR with different soil properties. International journal of research in engineering and technology, 2015. 4(2): p. 182-188.

Witczak, M., W. Houston, and C. Zapata, Correlation of CBR Values with Soil Index Properties. Development of the 2002 Guide for the Design of New and Rehabilitated Pavement Structures, Technical Report. NCHRP Project, 2001.

Uzundurukan, S., et al., Suction and swell characteristics of compacted clayey soils. Arabian Journal for Science and Engineering, 2014. 39: p. 747-752.

Shirur, N.B. and S.G. Hiremath, Establishing relationship between CBR value and physical properties of soil. IOSR journal of mechanical and civil engineering, 2014. 11(5): p. 26-30.

Talukdar, D.K., A study of correlation between California Bearing Ratio (CBR) value with other properties of soil. International Journal of Emerging Technology and Advanced Engineering, 2014. 4(1): p. 559-562.

Yared, L., Correlation of CBR value with soil index properties for Addis Ababa subgrade soils. 2013.

Janjua, Z.S. and J. Chand, Correlation of CBR with index properties of soil. International Journal of Civil Engineering and Technology, 2016. 7(5): p. 57-62.

Agarwal, K. and K. Ghanekar. Prediction of CBR from plasticity characteristics of soil. in Proceeding of 2nd south-east Asian conference on soil engineering, Singapore. 1970.

Chowdhury, S.R.M., et al., Summary resilient modulus prediction model for unbound coarse materials. Journal of Transportation Engineering, Part B: Pavements, 2021. 147(3): p. 04021035.

Harini, H. and S. Naagesh, Predicting CBR of fine-grained soils by artificial neural network and multiplelinear regression. Internat. Jour. Civil Engg. Tech.(IJCIET), 2014. 5(2): p. 119-126.

Segal, L., J.J. Creely, A. Martin Jr, and C. Conrad, An empirical method for estimating the degree of crystallinity of native cellulose using the X-ray diffractometer. Textile research journal, 1959. 29(10): p. 786-794.

Vinod, P. and C. Reena, Prediction of CBR value of lateritic soils using liquid limit and gradation characteristics data. Highway Research Journal, IRC, 2008. 1(1): p. 89-98.

Soewignjo Agus, N. and H. Andy, Correlation Between Index properties And California Bearing Ratio Test of Penkababu Soils with and Without soaked. Canadian Journal on Environmental, Construction and Civil Engineering, 2012. 3: p. 1-11.

Downloads

Published

2024-03-11

How to Cite

Khalil, M., & Riaz, K. (2024). Influence of Clay Mineralogy on the Index and Strength Properties of Soil. International Journal of Advanced Natural Sciences and Engineering Researches, 8(2), 21–27. Retrieved from https://as-proceeding.com/index.php/ijanser/article/view/1692

Issue

Section

Articles