• Judes Sujatha
• P. Arul Franco
• N. Angelin Niji
• A. Sumil Kumaran

California Bearing Ratio (CBR) value is an important soil parameters for design of Flexible pavements and runway of air Fields. It can also be used for determination of sub grade reaction of soil. It is one of the most important engineering properties of soil for design of sub grade of rural roads. CBR value of soil may depends on many factors like Liquid limit (LL), Plastic limit (PL), Plasticity Index (PI). An attempt has been made here to correlate soaked CBR value with LL, PL, PI and grain size distribution of some soil sample collected from different locations of Tirunelveli District of Tamil Nadu, India. Correlation Coefficient (R2) of each of these properties with CBR is determined and their significance is tested by using Statistical Test. Finally a Linear multiple regression models were developed by using Artificial Neural Network (ANN) Modelling Statistical Six Sigma software and liner statistics of Microsoft Excel for determination of CBR value involving the above mentioned soil parameters. The ANN predictions for CBR correlation coefficient (R2) of 0.951003 for training set for the network topology of 56.MLP 5-52-1. Similarly for testing set the ANN predictions for CBR yield a correlation coefficient (R2) of 0.949158. Thus this model is used for predicting the CBR values of the Silty Soil.

CBR, LL, PL, PI, Grain Size Distribution, Artificial Neural Network (ANN), Multi Linear Regression, Coefficient of Correlation (R)

"PREDICTION OF CBR FROM INDEX PROPERTIES OF SOIL THROUGH ANN MODELLING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.287-296, February-2019, Available :http://www.jetir.org/papers/JETIRAB06051.pdf

"PREDICTION OF CBR FROM INDEX PROPERTIES OF SOIL THROUGH ANN MODELLING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp287-296, February-2019, Available at : http://www.jetir.org/papers/JETIRAB06051.pdf