Project Grant 2606145
- 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...
- 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 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...
- This $750,000 National Science Foundation project grant funds research at the University of Texas at Austin to develop culturally appropriate messaging strategies for water utilities serving Spanish-speaking populations during infrastructure emergencies. The grant is part of NSF's Strengthening American Infrastructure program and supports the agency's Social, Behavioral and Economic Sciences program (CFDA 47.075). Working with water utilities, the researchers will conduct community-centered...
- The University of Texas at Austin was awarded a $528,708 project grant from the National Science Foundation to conduct collaborative research on adverse multiphase flow interactions in urban stormwater systems under the NSF's Engineering program (CFDA 47.041). The three-year project beginning September 1, 2021 will fund research by the University of Texas at Austin, as the primary awardee, and its parent institution the University of Texas System to improve understanding of complex fluid flow...
- The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded $200,000 to Texas A&M International University on July 15, 2026, under the Engineering program (CFDA 47.041) to develop an integrated framework for autonomous water quality monitoring using unmanned aerial vehicles. The project will design and deploy UAV platforms equipped with custom water-sampling payloads to collect samples across strategically selected cross-sections of...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Texas at Austin $747,979 on July 1, 2026, under the Engineering program (CFDA 47.041) to develop computational methods for modeling the coupled mechanical, chemical, and electrical behavior of soft polymer materials including hydrogels, elastomers, and polyelectrolyte gels. The research establishes a thermodynamically consistent multiphysics framework integrating...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Texas at San Antonio $420,275 on October 1, 2026, under the Engineering program (CFDA 47.041) to coordinate a Research Experiences for Undergraduates (REU) site focused on computational workforce development in natural hazards engineering and resilience. The STRONG-R REU site will prepare twenty-seven undergraduate students across three cohorts during a ten-week summer program to...
- 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...
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 water motion, air compression, air release, and pressure dynamics without computationally intensive multiphase simulations. The work includes calibrating models using physics-informed neural differential equations that combine conservation-law models with sensor data, developing uncertainty-aware state estimation methods to infer unmeasured pressures, flows, air volumes, and filling states from limited sensor measurements, and formulating control strategies to guide safe restoration of service. The research addresses hazards created when trapped air is compressed and displaced during main refilling, producing pressure surges that damage pipes, increase water loss, and prolong service interruption. Slower filling reduces these risks but delays service restoration to homes, businesses, hospitals, and essential facilities. The project integrates research into university courses, trains students in water infrastructure and data-enabled engineering, and transfers technology through collaborations with municipal utilities and laboratory testbeds. Performance occurs at San Antonio, Texas 78249 with a period of performance from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $225.6k | 7/31/26 |