Seismic Vulnerability Assessment for Building Loss Estimation using OpenseesPy

Abstract

Prediction of structure performance under seismic excitation and seismic damage after the seismic event plays a vital role in life safety and economics. These predictions are useful to the government and other private companies for preparing an effective methodology to be followed after seismic events, efficient retrofitting and rehabilitation to extend the durability of existing structures, insurance estimates, decision-making in disaster risk reduction, and others. The main objective of this study is to evaluate the susceptibility of reinforced concrete (RC) buildings to seismic events through the use of fragility curves. The study highlights the importance of these assessments in improving public safety, community resilience, and sustainable urban development in earthquake-prone locations. The present study uses OpenSeesPy commands to model and analyze an RC building numerically. The nonlinear analysis of the selected building structure is carried out in terms of pushover and dynamic analysis. Fragility curves are developed using the results of nonlinear dynamic analysis, which were subsequently used for the vulnerability assessment of the selected building, providing information on possible damage scenarios and cost consequences. This study improves scientific understanding, guides efforts to reduce risks, and supports the development of well-informed policies and public awareness campaigns. The present study promotes a resilient and well-informed society in earthquake-prone locations.