Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/91320
Title: Probability models for SWCC and hydraulic conductivity
Authors: Santoso, A.M. 
Phoon, K.K. 
Quek, S.T. 
Issue Date: 2011
Source: Santoso, A.M.,Phoon, K.K.,Quek, S.T. (2011). Probability models for SWCC and hydraulic conductivity. 14th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering : -. ScholarBank@NUS Repository.
Abstract: Direct measurement of the soil-water characteristic curve (SWCC) and hydraulic conductivity is costly and time consuming. A first-order estimate from statistical generalization of experimental data for soils with similar texture is useful. A simple approach is to fit the soil water content data with available SWCC equation and to develop an appropriate probability model of the curve-fitting parameters. This paper demonstrates that a lognormal random vector is suitable to model the variability of SWCC parameters. When experimental data of hydraulic conductivity is not available, the probability model of hydraulic conductivity can be consistently derived from the probability model of SWCC. The derivation is based on the relation between saturated hydraulic conductivity and the saturated water content. The proposed probability models can be readily used to perform probabilistic analysis of problems involving unsaturated seepage.
Source Title: 14th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/91320
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

38
checked on Feb 17, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.