Polynomial regression models were used to predict the ptasticity index and optimum moisture of several Sevilla soils. Estimated values obtained were related through linear regression and correlation analyses to those measured by laboratory procedures. Highly significant correlations were obtained between estimated values and the reference data, and the coefficients of variation were relatively low in most cases. Based on the regression, correlation and variation coefficients, and the number of soil samples considered, it was concluded that the polynomial equations may be used to estimate both engineering dererminations.

4 páginas, 2 figuras, 3 tablas, 13 referencias.

Peer reviewed