Seismic Response Of Multi-storey Building Using Artificial Neural Network

The different parameters like base shear, drift, and top storey displacement of G+7 building is evaluated by using time history analysis and response spectrum analysis for the purpose of comparative study of both the analyses using MATLAB and an artificial neural network (ANN).
The main objective of present work is to analyse earthquake of different locations like Bhuj, Kobe, Victoria and Elecentro, for time history analysis building is not connected with actuator and it is analysed during seismic motion of building using a MATLAB software. Base shear, drift and top storey displacement is evaluated during this analysis. For response spectrum analysis, first building relates to actuator at top floor. And during seismic motion of building different parameters like base shear, drift and top floor displacement are evaluated using MATLAB software and for evaluation of control force of a design actuator artificial neural network (ANN) is used. From time history analysis, response spectrum analysis test results and graphs for G+7 building it is clear that, when actuator is not connected with building it does not dissipate the energy of seismic motion and base shear of building , drift , and top floor displacement is very high, and in second case when building is connected with actuator at optimal place it gives considerable response during seismic motion of building and base shear of building, drift, and top floor displacement are can considerably reduce using control actuator system.