Sushama Kiran ¹, Bindhu Lal ¹, S. S. Tripathy ¹

Affiliations
1 Birla Institute of Technology, Ranchi - 835215, Jharkhand, IN

Abstract

Background: Shear strength parameter is an essential engineering property of soil which affects different aspects of soil such as bearing capacity of the soil, stability of slope, inclination of dam and retaining structures. Methods: In the following study, Probabilistic Neural Network (PNN) is applied as a promising tool for the estimation of shear strength. The input variables used for developing the model are index properties such as (water content (w), Plasticity Index (PI), Dry Density (DD), Gravel %(GP), Sand %(SP), Silt%(STP), and Clay%(CP) of soil and an attempt has been made to develop a neural model to predict the shear strength parameter of soil, viz, cohesion “c” and internal friction angle “φ”. Findings: The values of c and φ predicted by the model are comparable with the laboratory results. Trained data are validated to confirm the efficiency of PNN for determination of shear strength parameter. Application: Unlike other neural network approaches it uses the Bayesian estimation theory and gives time efficient results. These results can be utilized efficiently to determine the shear strength parameter using index properties of soil.

Keywords

Cohesion, Internal Friction Angle, Probability Neural Network (PNN), Shear Strength.

Full Text

   

Mrityunjay Jaiswal ¹, Bindhu Lal ¹

Affiliations
1 Department of Civil and Environmental Engineering, BIT Mesra, Ranchi - 835215, Jharkhand, IN

Abstract

Objectives: In this study, the change in behavior of subgrade soil after apply rice husk ash which is an environmental pollutant was observed. Methods/Statistical Analysis: Some sample of subgrade soil was taken and mixed with various amount of rice husk ash (1%, 2%, 4%, 6%, 8% and 10%). Did some experimental tests like OMC, MDD, CBR to determine the changes on subgrade strength properties with RHA content also to study its impact in better way, did SEM and EDS tests of untreated soil as well as treated soil. Findings: From the experimental works it is observed that addition of rice husk ash shows increase in OMC value whereas decrease in MDD value and Upto 6% rice husk content CBR is increasing after that it start decreasing. In other hand from SEM and EDS test decrease in void ration and breaking of montmorillonite has observed. Applications/Improvements: Since mixing of rice husk ash with soil shows improvement in CBR value and reduces the void so it can be use for sub-base construction as it will reduce the thickness and cost of pavement.

Keywords

CBR, EDS, Rice Husk Ash, Scanning Electron Microscopy, Soil Stabilization.

Full Text