This National Science Foundation Project Grant award of $941,186 provides funding from February 15, 2022 through January 31, 2027 to support research and education activities focused on developing predictive computational models for fiber-reinforced silica aerogel composites used in building insulation components. Funded under the Engineering (47.041) program, the award will allow the awardee, the Research Foundation for the State University of New York on behalf of the State University of New York at Buffalo, to establish new multiphysics models for aerogel composites and validate the predictive reliability of the models against experimental data using Bayesian methods. The models will then be used to design low-cost multi-material thermal breaks with desired mechanical resilience, thermal insulation, and soundproofing performance. Fabricated components will be tested to validate performance and refine the models in an iterative process. The project also includes an education program in computational engineering to improve diversity in the field. Overall, the award aims to advance knowledge of aerogel composites to guide discovery of high-performance, multifunctional building insulation components through physics-based computational modeling.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $345.6k | 6/3/22 | ||
| Not listed | $250.0k | 2/5/22 |