Soils and Foundations 31(3): 128–132, DOI: Īzzouz AS, Krizek RJ, Corotis RB (1976) Regression analysis of soil compressibility. The best fitness value of an individual RĪbdrabbo FM, Mahmoud MA (1990) Correlations between index tests and compressibility of Egyptian clays.
Slope of the rebound curve in the isotropic consolidation test L This study, thus, provides a basis and method for predicting the rebound index of soil from the microstructure perspective.Īverage abundance of structural units AC vĪverage equivalent diameter of structural units AD vĪverage shape factor of structural units AF vĪverage roundness of structural units AR v Sensitivity analysis was also carried out, which showed that the sensitivity of C r to AC p and AD v was significantly lower than e however, the difference from w L and I p was small, indicating that it is imperative to consider microscopic parameters while predicting C r. The results indicate the high prediction accuracy of the developed model. In order to evaluate the influence of microscopic parameters of soil on the prediction accuracy, four sets of input parameter combinations were used. The predictive analysis model of C r was then carried out combined with the PSO-SVM algorithm. Through SEM, the grey correlation degree, the average abundance of structural units AC p and the average equivalent diameter of pores AD v were determined as the soil microstructure parameters with the most significant correlation with C r. Further, scanning electron microscopy (SEM) imaging was used to analyze the microstructural features. In this paper, the different soil parameters, including the C r parameter and the physical parameters (void ratio e r liquid limit water content W L, and plasticity index I p), have been determined through experiments for the undisturbed clay of Chongming East Shoal (CES), Shanghai. Explaining the macroscopic rebound characteristic parameter C r from the perspective of microscopic mechanism is an important research area that is addressed in this study.
The rebound index C r is an important design parameter in engineering construction, and its determination is cumbersome and susceptible to errors.
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