Statistical Analysis for Prediction of Unconfined Compressive Strength of Synthetic Fibre-Reinforced Clayey Soil

Abstract

In order to obtain a simpler and more reliable prediction model of unconfined compressive strength (UCS) of soil for application, the UCS data of synthetic fibre-reinforced clayey soil (FRS) were analyzed by statistical method, which were collected from previous studies. Based on the data sources, the failure modes of FRS were analyzed, it can be verified that the slippage of fibre is the major failure mode for UCS test. Six principal parameters of soil and fibre were selected for the new models. The α model and β model were proposed to predict the UCS values of FRS by means of multivariate nonlinear regression analysis. Moreover, the UCS data collected from different studies were used to evaluate the two models and the α–β model was proposed for modification. It was shown from the results that the three models were all reasonable in statistics. The α–β model can be considered as reference for application and the suggested value of a is less than 0.5.