1 publication

• Published Subscription 3 Dec 2019

  Leakage Rate Prediction through Composite Liner due to Geomembrane Defect using Neural Network

  By Rakesh Kumar Dutta, Suman Kumari

  Abstract: The paper presents the leakage rate prediction using artificial neural network from the liner made of soil and geomembrane. The defect in the geomembrane considered was having different shapes. Three different shapes such as square, rectangular and circular of the defect have been considered. The input variables considered for the artificial neural network (ANN) were (i) head on the top of the soil (ii) area of the defect (iii) hydraulic …

  Published in Journal of Geotechnical Engineering · Vol. 6, Issue 3, 2019 · pp. 8–17 Read article →