# Assessing the Seismic Demands on Non-Structural Components Attached to Reinforced Concrete Frames
## 7 Summary and Conclusions  
Non-structural components (NSCs) have become critical in sustaining post-earthquake functionality while constructing seismic-resilient structures. Floor response spectra can be used to measure the seismic load on non-structural components. The present study was dedicated to assessing the seismic demands on NSC via FRS. The NSCs studied are single degree of freedom structures. The building structures considered are five-story regular and irregular reinforced concrete framed structures. The mass irregularity was considered at the first story level in the case of an irregular building as per the requirement of IS 1893:2016 (Part 1). The major goal of this research was to examine how different soil types affect the seismic response of NSCs. According to the IS 1893 code, three types of soil are considered: soil A, soil B, and soil C. For the time history analysis, 11 ground motions for each soil type were considered and they were made compatible with the IS code-based design spectrum. The building structures were subjected to those 11 numbers of spectrally matched ground motions for each soil type. The response of the regular and irregular structures on each floor is calculated for different soil types and spectrally matched ground motions. The mean floor response spectra were constructed from the floor responses at each floor level. Based on the analysis of the building models, the following conclusions are drawn:  
* The peaks observed in the floor response spectra correspond to the fundamental natural periods of the considered building models. * The presence of mass irregularity at the lower story of the considered building models amplified the floor acceleration response at all floor levels for all soil types. * Floor acceleration response increased in the irregular building by 26.1% and 10% at 1 st and 5 th floor levels for hard soil compared with the regular building. Figure 20: Comparison of amplification factors: (**a**) regular model; (**b**) irregular model. * Floor spectral acceleration values increase with an increase in soil flexibility. In comparison with the hard soil, the floor spectral acceleration of a regular building's 5 th story increases by 32.4% in medium soil and by 41.3% in soft soil. Similarly, the floor spectral acceleration of an irregular building at the highest floor level (5 th floor) increases by 29.2% in medium soil and 41.5% in soft soil compared with hard soil. * Independent of building and soil type, it is found that the floor acceleration varies nonlinearly with building height. The values of the floor amplification factor increase with the building height and range from 1.08 to 3.85 for regular buildings and 1.53 to 4.55 for irregular buildings. * The linear assumption in the code-based floor amplification formulation may lead to overestimation (first floor) and underestimation (second to fifth floor) of peak floor response demands. * The code definitions underestimate the peak component acceleration and dynamic amplification factors for all soil types. * The code definitions underestimate the CDAF for non-structural component periods closer to the vibration periods of the regular and irregular buildings for hard soil, while for medium and soft soil types, code definitions underestimate the CDAF for a non-structural component period closer to the fundamental vibration period of the building. * The 4-17-1 ANN models developed in the present study can accurately predict the component dynamic amplification factors (CDAF) using various input parameters. The observations made during this research are confined to the examined buildings and the ground motions. A comprehensive research study is encouraged by considering the various low- and high-rise buildings in generalizing the findings. This study is limited to only the five-story building structure and mass irregularity as a preliminary investigation. The nonlinear behavior of the building model needs to be considered for more generalized results.