T. G. Sitharam

TL;DR: The study helps in understanding the contamination potential of landfill leachate and establishes linkages between microbial communities and physico-chemical parameters for effective management of landfillLeachate.

TL;DR: In this article, the effectiveness of geocell reinforcement placed in the granular fill overlying soft clay beds has been studied by small-scale model tests in the laboratory, where the influence of width and height of the geocell mattress as well as that of a planar geogrid layer at the base of the mattress on the overall performance of the system has been systematically studied through a series of tests.

TL;DR: In this article, the potential benefits of providing geocell reinforced sand mattress over clay subgrade with void have been investigated through a series of laboratory scale model tests, and the results indicate that substantial improvement in performance can be obtained with the provision of geocell mattress, of adequate size, over the clay sub grade with void.

TL;DR: This study describes two machine learning techniques applied to predict liquefaction susceptibility of soil based on the standard penetration test (SPT) data from the 1999 Chi-Chi, Taiwan earthquake and highlights the capability of the SVM over the ANN models.

TL;DR: In this paper, the effect of joints in the rock mass is taken into account by a joint factor, which is incorporated in a non-linear FEM code to represent the equivalent continuum analysis.