Life-cycle seismic insurance model for multi-story RC frames based stochastic big-data analysis

The estimation of annual average seismic insurance premium in life service period for multi-story reinforced concrete (RC) frames based stochastic parameters models is the focus of the research. An innovative seismic analysis methodology is adopted for seismic loss estimation of buildings. The damage of the structural and nonstructural which connected into response of the inter-story drift ratio and peak diaphragm acceleration under a given stochastic motions use nonlinear incremental dynamic analysis to estimate damage of buildings in a detailed. Description of the uncertainty of all parameters in research through random big-data probability distributions to reach quantification of the life-cycle seismic losses expected value. Moreover, the study is also to give the expected suggested insurance premium of RC structures in selected region based Monte-Carlo stochastic simulation in its service lifetime.