Abstract

Soil stabilization is an in situ soil treatment in which soils are mixed with cementitious or other chemical stabilizing agents. Determining the unconfined compressive strength (UCS) of stabilized soil is a principal task in the design and construction of the ground improvement. Hence, this study aims to develop a reliable predictive model for the UCS of clay stabilization with common cementitious binders using the gene-expression programming (GEP) technique. Eleven parameters, including the soil characteristics, the binder types, the binder contents, the mixing method, and the curing period, were considered as the independent variables in the model. The research results show that the selected optimal GEP-based model performs well with an acceptable correlation coefficient (R = 0.951) and low errors (e.g., RMSE and MAE). Besides, parametric analyses indicate that the plastic index, the percentage of clay, and the total water content have a negative effect on the UCS of stabilized soil. In contrast, the percentage of silt and sand, the binder types, the binder contents, and the curing time show a positive effect on the strength of stabilized soil. In addition, the strength of stabilized clay could be significantly enhanced by combining cement with slag, lime, or fly ash with a reasonable ratio, or by reducing the natural water content in the soil. The research findings could help engineers choose suitable binder types and cost-effective methods to optimize the UCS of stabilized clay.

Highlights

  • Soft clay accounts for a high proportion of land in coastal areas and river deltas across the world [1,2,3]

  • Parametric analyses indicate that the plastic index, the percentage of clay, and the total water content have a negative effect on the unconfined compressive strength (UCS) of stabilized soil

  • The accuracy of the gene-expression programming (GEP) model was evaluated through the coefficient of correlation (R), root mean square error (RMSE), and mean absolute error (MAE), which are measured as Eqs. (3)–(5)

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Summary

Introduction

Soft clay accounts for a high proportion of land in coastal areas and river deltas across the world [1,2,3]. Lime, fly ash, and blast-furnace slag are the common additives used to mix with soft clay [6] to improve the workability and compaction characteristics, increase the shear strength of the soil, and reduce the settlement of the ground [7] Due to such advantages, soil stabilization with chemical binders has been applied widely in many countries [8,9,10]. Some studies have suggested predictive models for the UCS of stabilized soil based on the common input variables, such as the water to binder ratio, the binder content, and the curing time [15,16,17,18,19,20].

Data preparation
Gene-expression programming
GEP modeling procedure
GEP-based model result
External criteria
Comparative study
Effect of each variable on the UCS of stabilized clay
Objective
Effect of Atterberg limits
Effect of the particle size
Effect of the total water content
Effect of the curing period
Effect of the binder type and binder content
Effect of the particle size of the soil
Effect of cement in combination with other chemical binders
Effect of the total water content and cement content
Findings
Conclusions
Full Text
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