Abstract: This paper presents a new method, which is called GABP method, that can effectively predict the axial resistance of prestressed highintensity concrete (PHC) piles. Various soil properties, such as, index properties, mechanical properties, on the axial capacity of PHC piles are evaluated and factors that have largest influence on the pile capacity are determined. This new method, which combines the genetic algorithm (GA) method and artificial neural network back propagation (BP) method, applies the statistical method of multi factors in GABP neural network system in the axial capacity predictions of PHC pile in cohesive and noncohesive soil in Shanghai. The results indicated that this method is successful.

Key words: GA-BP Neural Network, PHC Piles, Side Soil Resistance of Pile