In this study, a new empirical model was developed to predict the secant soil deformation modulus (Es) using linear genetic programming (LGP). The best LGP model was selected after developing and controlling several models with different combinations of the influencing parameters. The experimental database used for developing the model was established upon a series of plate load tests (PLT) conducted on different soil types. A sensitivity analysis was carried out to determine the contributions of the parameters affecting Es. The proposed model gives precise estimations of the soil deformation modulus.

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