A hybrid computational approach to formulate soil deformation moduli obtained from PLT

作者：Mousavi Seyyed Mohammad; Alavi Amir Hossein^*; Mollahasani Ali; Gandomi Amir Hossein

来源：Engineering Geology, 2011, 123(4): 324-332.

DOI：10.1016/j.enggeo.2011.09.005

• Soil deformation moduli
• Soil physical properties
• Genetic programming
• Simulated annealing
• Nonlinear modeling

In this study, new empirical equations were developed to predict the soil deformation moduli utilizing a hybrid method coupling genetic programming and simulated annealing, called GP/SA. The proposed models relate secant (E(s)), unloading (E(u)) and reloading (E(r)) moduli obtained from plate load-settlement curves to the basic soil physical properties. Several models with different combinations of the influencing parameters were developed and checked to select the best GP/SA models. The database used for developing the models was established upon a series of plate load tests (PLT) conducted on different soil types at various depths. The validity of the models was tested using parts of the test results that were not included in the analysis. The validation of the models was further verified using several statistical criteria. A traditional GP analysis was performed to benchmark the GP/SA models. The contributions of the parameters affecting E(s), E(u) and E(r) were analyzed through a sensitivity analysis. The proposed models are able to estimate the soil deformation moduli with an acceptable degree of accuracy. The E(s) prediction model has a remarkably better performance than the models developed for predicting E(u) and E(r). The simplified formulations for E(s), E(u) and E(r) provide significantly better results than the GP-based models and empirical models found in the literature.

• 出版日期2011-11-21