This paper investigates the correlation between ground motion parameters and displacement demands of mid-rise RC frame buildings on soft soils considering the soil-structure interaction. The mid-rise RC buildings are represented by using 5, 8, 10, 13, and 15-storey frame building models with no structural irregularity. A total of 105 3D nonlinear time history analyses were carried out for 21 acceleration records and 5 different building models. The roof drift ratio (RDR) obtained as inelastic displacement demands at roof level normalized by the building height is used for demand measure, while 20 ground motion parameters were used as intensity measure. The outcomes show velocity related parameters such as Housner Intensity (HI), Root Mean Square of Velocity (Vrms), Velocity Spectrum Intensity (VSI) and Peak Ground Velocity (PGV), which reflect inelastic displacement demands of mid-rise buildings as a damage indicator on soft soil deposit reasonably well. HI is the leading parameter with the strongest correlation. However, acceleration and displacement related parameters exhibit poor correlation. This study proposed new combined multiple ground motion parameter equations to reflect the damage potential better than a single ground motion parameter. The use of combined multiple parameters can be effective in determining seismic damages by improving the scatter by at least 24% compared to the use of a single parameter.
This study investigates the effect of soil–structure interaction (SSI) on seismic behavior of mid- and low-rise residential buildings considering linear and nonlinear behavior of structural members. For this purpose, four- and seven-story buildings representing a majority of existing building stock were used. The outcomes indicate that there are significant variations in displacement demand estimates depending on ground motion records, modeling approaches (linear/nonlinear structural modeling and fixed-base or SSI), and soil types. The findings in this study evidently indicate that linear fixed-base models are highly sensitive to dynamic amplification. Therefore, their use may result in inappropriate displacement demand estimates. If the soil amplification and nonlinear modeling are considered, the differences in the average displacement demand estimates of both the fixed-base and SSI models are negligible. Besides, the displacement demand estimate for stiffer soils is independent of modeling. This study underlines that the linear structural modeling includes SSI or the fixed-base model has to be used with nonlinear structural modeling in order to have acceptable demand estimates for the seismic evaluation of the reinforced concrete residential buildings.