CAREER: Toward the Next Generation Data-Informed Probabilistic Framework for Infrastructur — NSF Award to Board of Regents, NSHE,
This Faculty Early Career Development (CAREER) award will support research that seeks to (1) establish a methodological and computational framework to harness new knowledge from extensive simulation data for extreme yet plausible natural disaster scenarios and (2) seamlessly integrate it into probabilistic demand and h
| Award title | CAREER: Toward the Next Generation Data-Informed Probabilistic Framework for Infrastructur |
|---|---|
| Award ID | 2443744 |
| Awardee | Board of Regents, NSHE, obo University of Nevada, Reno |
| City | RENO |
| State | NV |
| Amount obligated | $575,478 |
| Principal investigator | Floriana Petrone |
| Program | ECI-Engineering for Civil Infr, EPSCoR Co-Funding |
| Start date | 06/01/2025 |
| Abstract | This Faculty Early Career Development (CAREER) award will support research that seeks to (1) establish a methodological and computational framework to harness new knowledge from extensive simulation data for extreme yet plausible natural disaster scenarios and (2) seamlessly integrate it into probabilistic demand and hazard models. Conventional risk assessment approaches rely on the combined use of hazard models and likelihood of damage (i.e., fragility) models. By nature, both models make gener |
| Source | NSF Awards |
$799/mo
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