International Journal of Earth Sciences and Engineering

S. Vinodhkumar ¹, S. Balaji ¹

Affiliations
1 Department of Civil Engineering, Kongu Engineering College, Perundurai-638052, IN

Abstract

For roads on black cotton soils, stabilization process is indispensable to subdue swell-shrink problems and also to improve CBR value. The aim of this research is to contrive an Artificial Neural Network model which can be used to predict values of CBR of sub-grade soil with the addition of flyash and geotextile. The input values for this research includes Atterberg’s limits, Optimum Moisture Content & Fraction of Fly Ash added and number of geotextile layers which can affect the CBR values. The effects of number of neurons in hidden layer with different algorithms are scrutinized. Levenberg-Marquardt back propagation shows maximum R value of 0.98695 and minimum MSE value of 8.0242e-11. Economic beneficial are reconnoitered according to schedule of rates of materials as well.

Keywords

Black Cotton Soil, Flyash, Geotextile, Artificial Neural Networks, Economic Analysis.

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