application of genetic algorithm to predict dynamic parameters of granular and cohesive soils

Normalized shear modulus (g/gmax) and damping ratio (d) of soil are essential parameters for any dynamic soil structure interaction analysis. in civil engineering project, required dynamic properties are often calculated from the empirical curves.in the current study, two models are presented to predict the normalized shear modulus and damping ratio of cohesive and granular soils using gene expression programming (gep). the data used in the modeling obtained from the previous experimental studies. the input parameters include of shear strain level, confining pressure, over consolidation ratio, voidratio and grading characteristics such as uniformity coefficient. also, the compression of the predicted and measured values of normalized shear modulus and damping ratio proposed that the models have a good performance. lastly, the model results were compared with previous models. the results indicate that the proposed models are able to computing thedynamic parameters of cohesive and granular soils more exactly.