Classification of swelling-shrinkage grade of expansive soils based on genetic projection pursuit model
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Abstract:
Due to the integrated effects of multiple factors, the classification of the swelling-shrinkage grade of expansive soils is one of the most difficult problems in expansive soil treatment. Five key factors were chosen to construct the model. By constructing standard samples through stochastic interpolation, we obtained the best projection direction and best projection values using the genetic algorithm and the projection pursuit method. Then we fitted a non-linear relationship between the best projection values and empirical values using the logistic curve function, and developed a new model for the classification of swelling-shrinkage grade of expansive soils, i.e., the genetic projection pursuit model. Finally, the new model was applied to actual engineering. The results tallied well with the actual situation, and thus verified the feasibility and applicability of the proposed model. This model can be a new method for classifying the swelling-shrinkage grade of expansive soils.
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