Challenges and Opportunities in Building a Hazard Resilient City
Towards the Development of a Regional Scale Infrastructural Digital Twin
Professor Gaby Ou
Assistant Professor of Civil and Environmental Engineering, University of Utah
Informed decision-making to improve city hazard resilience helps save human lives, ensure ethical resource allocation, and preserve the welfare of our society. Whether it is the pre-hazard preventive planning, or the post-hazard response and recovery, evaluations to yield an optimal solution highly depend on the accurate understanding of our civil infrastructure performance under the hazard scenarios. In this talk, I will present our most recent efforts to investigate infrastructure performance at a regional scale in two interconnected research thrusts. The first thrust paves the road to an optimal preventive operation for bulk power systems prior to hurricanes. A physics-data infusion testbed was developed and evaluated for the 2017 Hurricane Harvey scenario. The second thrust proposed an optimal information acquisition strategy to infer the building damage distribution after an earthquake considering constrained sensing capability. With a selective inspection of only 1,000 buildings, the damage condition of 200,000 buildings can be predicted with high accuracy. Preliminary results shed light on the systematic integration of our state-of-the-art structural analysis tools – modeling, testing, and sensing, together with advanced data analytics and information theory to generate an accurate and up-to-date digital representation of our infrastructure. In the end, an innovative framework to build and maintain a digital twin for regional civil infrastructure system resilience emerges.