Digital Twin Model for Regional-Scale Seismic Resilience Assessment of School Buildings with Modular Retrofit Panel System

Abstract:

With the goal to develop a digital twin model with a seamless procedure for performing an intensity-based seismic resilience assessment of school buildings with self-centering modular bracing panel （SCMBP） systems on a regional scale， a computational framework comprised of sequential steps was built in the Python programming language by adopting multiple packages. The results of the analysis （e.g.， repair cost， repair time， probability of irreparability， etc.） were generated in different contexts such as graphs， tables， and multiple shapefiles containing the building footprints and resilience metrics such as repair time and repair cost at different seismic intensities that could be visualized three-dimensionally in geographical information system （GIS） software to present a more intelligible quantitative evaluation of the regional seismic loss of the building inventory with a retrofit modular bracing panel system. The steps consisted of generating the building inventory， generating simplified numerical models， response history analysis （RHA），obtaining engineering demand parameters （EDPs），estimating the quantity of the vulnerable components，probabilistic seismic loss assessments， and generating the building-specific and regional outputs. The probabilistic loss assessment was performed based on the component-level FEMA P-58 methodology by adopting the Pelicun package. As a case study， the regional seismic resilience assessment of buildings equipped with SCMBP systems was conducted by performing a study of nearly two thousand school buildings in the San Francisco Bay Area with such systems. A simplified structural model for simulating the SCMBP systems was adopted to reduce the computing time of regional-scale seismic resilience evaluation while exhibiting an identical story-shear hysteretic behavior. The effect of the key parameter of the energy dissipation ratio， β， of SCMBP systems on the resilience metrics of the school buildings was studied by performing a parametric study.