Predictive modeling of sandy subgrade soil’s resilient modulus using cyclic and static triaxial test variables and results
Predictive modeling of sandy subgrade soil’s resilient modulus using cyclic and static triaxial test variables and results
To design a pavement the mechanical properties of it need to be determined, one of them is the resilient modulus (Er), which is a measure of the ability of a material to resist deformation under repeated loading. The prediction of resilient modulus using different types of parameters is a well-known and commonly used practice. Three static and one cyclic triaxial tests were conducted with variously graded sand (SP) and the same type and number of tests were conducted with the well-graded sand (SG). Two dependencies were observed during the analysis of the tests results: 1) the power dependency between the resilient modulus and a ratio of maximum and minimum values of deviatoric stress, and 2) natural logarithmic dependency between the ratio of resilient modulus to maximum and minimum values of deviatoric stress, and a ratio of secant modulus from the static triaxial tests to a maximum and minimum value of deviatoric stress. Developed prediction dependencies showed a good agreement compared to the resilient modulus values received from the direct test results.
Tadas Tamosiunas; S. Skuodis
28th European Young Geotechnical Engineers Conference (EYGEC2024)
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