ISSN: 1945-7545
CODEN: GTJODJ
Page Count: 4

The Application of Multivariate Statistics and Saturation Extract Data to Identify Dispersive Clay Soils

Craft, D
Research chemist, U.S. Bureau of Reclamation, Denver, CO

Abstract

Soils from a geotechnical project in Oklahoma may be classified as dispersive or nondispersive with a high degree of confidence by substituting selected pore-water data (weight percent H₂O at saturation, saturation extract pH, log base 10 of the pore-water conductivity, and log base 10 of the pore-water sodium concentration) into derived discriminant classification functions. The discriminant functions were derived using discriminant analysis, a multivariate statistical classification technique, performed on a 28-sample data set. This statistical procedure was utilized after problems were noted with the currently accepted porewater chemical test for dispersion, suggested by Sherard et al. Suggestions for using the derived discriminant function as the basis of a simple chemical field test and precautions regarding data interpretation are presented.

Keywords:
chemical analysis, clays, soils, soil tests, dispersion, colloids, heterogeneity, earthfill dams, experimental data, field tests, statistical analysis, multivariate statistics

Paper ID: GTJ10609J
DOI: 10.1520/GTJ10609J
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