| NSF Org: |
CMMI Division of Civil, Mechanical, and Manufacturing Innovation |
| Recipient: |
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| Initial Amendment Date: | August 9, 2018 |
| Latest Amendment Date: | July 27, 2023 |
| Award Number: | 1763028 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Daan Liang
dliang@nsf.gov (703)292-2441 CMMI Division of Civil, Mechanical, and Manufacturing Innovation ENG Directorate for Engineering |
| Start Date: | August 15, 2018 |
| End Date: | July 31, 2024 (Estimated) |
| Total Intended Award Amount: | $421,858.00 |
| Total Awarded Amount to Date: | $421,858.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
2601 WOLF VILLAGE WAY RALEIGH NC US 27695-0001 (919)515-2444 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
CB 7514 Raleigh NC US 27695-7908 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | HDBE-Humans, Disasters, and th |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.041 |
ABSTRACT
This project develops, implements and tests a new quantitative resilience modeling framework to support operational and strategic decisions for improving the resilience of water infrastructure systems during normal and emergency operations. This framework integrates conceptual, structural, simulation, and optimal decision-making models for resilience investment prioritization. The newly developed quantitative resilience performance metrics that result from this modeling effort can influence the way that water infrastructure systems resilience investments are evaluated and compared to identify optimal improvement actions. Rapid failures and slow system deterioration in water infrastructure systems continue to present challenges in reliably and cost-effectively meeting service needs. Thus, this scientific research contribution supports NSF's mission to promote the progress of science and to advance our national welfare with benefits that will optimize investments in the nation's critical infrastructures.
This new quantitative resilience modeling framework will: 1) be reusable for multiple hazard and decision scenarios; 2) be able to integrate existing simulation and modeling tools; and 3) be useable within different decision-making strategies. Major contributions include: computational libraries for civil infrastructure resilience analysis using a standardized modeling language to represent inter- and intra-system dependencies; specific instances of these libraries for water infrastructure systems; a prototype of a system simulation model that incorporates SCADA-data-infused hydraulic models for performance assessment for a real system; a set of new quantitative metrics for assessing and comparing alternative plans for improving system-level resilience considering short- and long-term performances; and a case study of the new framework.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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