This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award in the amount of $454,236 to the University of Massachusetts Lowell will advance the field of resilience analytics and enhance the ability of civil infrastructure systems to withstand natural disasters. The key research objectives include:
(i) Adapting statistical physics and discrete modeling techniques to predict the type, extent, and functional integrity of damage to structural and non-structural building components under hazard events.
(ii) Developing novel learning strategies for accurate and efficient estimation of damage and loss statistics, especially for low-probability extreme events.
(iii) Devising a systems dynamics platform to model supply chain response and estimate aggregated community-level damage and recovery trajectories.
This 3-year research effort aims to provide quantitative data to inform design, adaptation, and mitigation strategies in hazard-prone areas, leading to reduced economic losses and societal impacts from natural disasters. The project will also contribute to training the next generation of resilience engineering scholars and broadening participation of underrepresented groups in STEM fields.
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