Probabilstic Seismic Risk Evaluation of Rc Buildings

As more and more emphasis is being laid on non-linear analysis of RC framed structures subjected to earthquake excitation, the research and development on both non-linear static (pushover) analysis as well as nonlinear dynamic (time history)analysis is in the forefront. Due to prohibitive computational time and efforts required to perform a complete nonlinear dynamic analysis, researchers and designers all over the world are showing keen interest in non-linear static pushover analysis. The paper considers two statistical random variables namely characteristic strength of concrete (fck) and yield strength of steel (fy) as uncertainties in strength. Using Monte Carlo simulation 100 samples of each of random variable were generated to quantify effect of uncertainties on prediction of capacity of structure. Based on these generated samples different models were created and static pushover analysis was performed on RC (Reinforced Concrete) Building using SAP2000. Lastly, the main objective of this article is to propose a simplified methodology to assess the expected seismic damage in reinforced concrete buildings from a probabilistic point of view by using Monte Carlo simulation and probability of various damage states were evaluated.