ABSTRACT
Community resilience models employ fragility functions to link hazard outcomes to infrastructure damage assessments. These predictions inform recovery analyses that consider cascading effects across economic, social, and household sectors. Current performance-based frameworks for tsunami engineering use distinct fragility curves for tsunami and earthquake effects but have not combined them due to data constraints. This study introduces a computational methodology for creating 3D earthquake-tsunami fragility surfaces for reinforced concrete frame buildings in coastal areas. The approach involves a two-stage analysis: earthquake followed by tsunami. Uncertainty is addressed through millions of nonlinear simulations that consider a number of structural, seismic, and tsunami-related variables. A proposed multi-distributed framework significantly enhances computational efficiency, facilitating more robust community resilience studies. The resulting 3D fragility surfaces account for isolated and combined earthquake-tsunami risks, offering a comprehensive tool for risk and resilience assessment.
