Project Grant 2606146
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Auburn University $207,623 as a project grant effective October 1, 2026 through September 30, 2029 under the Engineering program (CFDA 47.041). The award funds research to develop computational methods, models, and control strategies for safely and efficiently restoring drinking water systems after mains repair, replacement, or network expansion. The research will create physics-based models...
- The National Science Foundation awarded a $246,221 Project Grant under the Engineering federal grant program (CFDA 47.041) to Vanderbilt University for research titled "COLLABORATIVE RESEARCH: JOINT CONTROL OF HYDRAULICS AND WATER QUALITY DYNAMICS IN DRINKING WATER NETWORKS." The two-year project beginning October 1, 2021 aims to develop control strategies to optimize water quality and system hydraulics in drinking water distribution networks. As the NSF's Engineering directorate seeks...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The University of Texas at San Antonio $225,569 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop computational methods for safe and efficient restoration of drinking water systems following repairs and construction. The project will create physics-informed models that simulate multiphase air-water flow during transmission main and distribution network refilling, capturing...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Duke University $357,823 on September 1, 2026, for collaborative research on artificial intelligence-enabled decision support for rate setting and infrastructure investment in decentralized water utilities under drought conditions. The research develops integrated models that trace feedback mechanisms among water supply, household demand, and utility finances to improve how local water utilities...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded $214,026 to University of California, Davis on September 1, 2026, under the Engineering program (CFDA 47.041) to develop AI-enabled decision support models for water rate setting and infrastructure investment in decentralized utilities operating under drought conditions. The research integrates economics and engineering to close knowledge gaps in how local water utility decisions on rates and...
- The National Science Foundation Division of Information and Intelligent Systems awarded Florida International University $200,000 on February 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research to develop artificial intelligence methods that integrate and interpret fragmented urban water and wastewater network data. The project will create a computational framework combining machine learning, graph-based modeling, and multimodal...
- This $200,000 National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation project grant, awarded to Purdue University, aims to develop approaches for the joint operation of coupled municipal drinking water and electric power distribution networks. The key products and services to be delivered through this 3-year project include: Developing operational planning and real-time control strategies for these coupled water-power networks under uncertainty. Designing...
- This $107,246 project grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation will fund the "Collaborative Research: Water and Health Infrastructure Resilience and Learning (WHIRL)" project at North Carolina State University. The project aims to enhance understanding of the interactions between drinking water and public health systems and how these critical infrastructure systems adapt to challenges. It will investigate how the public...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded William Marsh Rice University $599,581 on July 1, 2026, to develop physics-informed machine learning methods for evaluating how flood and stormwater infrastructure portfolios perform as integrated systems under realistic storm conditions. This is a Faculty Early Career Development Program (CAREER) Project Grant under the Engineering program (CFDA 47.041). The recipient will develop computational...
- The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Virginia. The grant supports the development of new physics-guided graph network models to capture complex, non-stationary, and poorly observed water dynamics in freshwater ecosystems. Key innovations include new graph-based architectures, continual learning strategies, and model initialization methods that leverage...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Vanderbilt University $316,475 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop computational methods for modeling and controlling multiphase air-water flow during the refilling of drinking water transmission mains and distribution networks after repairs and construction. The research will formulate computationally efficient models capturing dominant physical mechanisms governing water motion, air compression, air release, and pressure dynamics without requiring intensive multiphase flow simulations. Models will be calibrated using physics-informed neural differential equations combining conservation-law models with sensor data. The project will develop uncertainty-aware state estimation methods to infer unmeasured pressures, flows, air volumes, and filling states from limited sensor measurements, enabling water utilities to restore service more safely and efficiently while reducing damaging pressure surges that cause additional pipe damage, water loss, and extended service interruptions. The research integrates education and workforce development by incorporating findings into university courses and training students in water infrastructure and data-enabled engineering, with technology transfer through collaborations with municipal utilities and laboratory testbeds. Performance occurs at Vanderbilt University in Nashville, Tennessee, with a period of performance from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $316.5k | 7/31/26 |