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Estimating Clay Liner and Cover Permeability Using Computational Neural Networks

by Girish Agrawal, (A.M.ASCE), Earth Technology Corp, Irvine, United States,
Saroj Weeraratne, (M.ASCE), Earth Technology Corp, Irvine, United States,
Kris Khilnani, (M.ASCE), Earth Technology Corp, Irvine, United States,



Document Type: Proceeding Paper

Part of: Computing in Civil Engineering

Abstract:

The ability to provide a quick estimate of the permeability value to be expected in laboratory testing (of field samples) would help to predict potential problems in meeting the permeability standards imposed on compacted clay liners. We present some preliminary results that indicate the potential of artificial neural networks as a practical engineering tool for estimation and prediction of expected field permeability.

Subject Headings: Permeability (soil) | Clay liners | Permeability (material) | Clays | Neural networks | Field tests | Compacted soils

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