Predictive models for normalized shear modulus and damping ratio of modeled rockfill materials
Acta geodynamica et geomaterialia
This study presents predictive models for estimating normalized shear modulus and damping ratio of three compacted remodeled rockfill materials using modified hyperbolic and nonlinear multiple regression methods. The predictive models uses the results of dynamic triaxial tests carried out on cylindrical samples. Tested materials were obtained from the locations of a number of Concrete Faced Rockfill Dams (CFRDs) constructed in Iran. The laboratory test results show that the shear modulus and
... hear modulus and especially the damping behavior, are influenced by the frequency of loading. The loading frequency and confining pressure were the most important factors that affect dynamic properties of the rockfill materials. In the preliminary part of this paper, the modified hyperbolic method has been considered for developing the predictive models. The predictions did not have enough precision. There were limitations while selecting γ r , the reference shear strain at G/G O =0.5, due to the loading frequency and confining pressure effects. Therefore, results were presented using nonlinear multiple regression approach. The comparison of results shows that the nonlinear multiple regression method is very effective in modeling dynamic properties of soils such as the shear modulus and damping ratio than the classical hyperbolic models. ARTICLE INFO Cite this article as: Aghaei Araei A, Ghodrati A: Predictive models for normalized shear modulus and damping ratio of modeled rockfill materials.