Estimation of rocking capacity of soil-structure systems using a hybrid inverse solver

Abstract

Among the geotechnical-earthquake community, the rocking concept is being acknowledged as an energy dissipation mechanism that benefits soil-structure systems during strong vibrations. Nevertheless, several involving factors such as geomaterials behavior and superstructure size can make the rocking analysis of soil-foundation-structure systems complicated. The mobilized moment and the dissipated energy can be represented as the two primary performance indicators of the soil-structure systems under strong motions. This study employs an assembled database comprised of a wide range of geomaterials with different stiffness values associated with high-rise structures with different dimensions acquired from the implementation of a dynamic nonlinear elastic-perfect plastic finite element model. This study aims to develop predictive models for the responses mentioned above using the implemented database. To predict the both mobilized moment and dissipated energy, a hybrid gene-expression programming-artificial neural network technique (GEP-ANN) was used. The results show that the GEP model can yield promising predictions with reasonable accuracy. However, the GEP model can be fine-tuned by introducing the hybrid model. The hybrid model decreases the recorded prediction errors by a factor of three for both the mobilized moment and damping ratio as compared to the GEP model. The results show that the predictive models yield a sensible performance power that minimizes the efforts needed for implementation of time-consuming finite element method. This study also deploys a local sensitivity analysis technique to assess how the input parameters are attributed to the target values.

Investigating the high-temperature performance and activation energy of carbon black-modified asphalt binder

“…In this study, the frequency sweep test was used to compute the ZSVassuming that the asphalt binder is a cross fluid. A cross fluid is a Newtonian liquid whose viscosity depends on the applied shear rate [49][50][51]. As a result, the flow curves were fitted to the cross model (Eq.…”