BRITE Relaunch: Improving Structural Health by Advancing Interpretable Machine Learning fo — NSF Award to University of Oklahoma N
This Boosting Research Ideas for Transformative and Equitable Advances in Engineering (BRITE) Relaunch award will focus on advancing interpretable machine learning to match modeling accuracy with transparency. This will provide structural engineers with a superior and trustworthy tool to model nonlinear dynamical syste
| Award title | BRITE Relaunch: Improving Structural Health by Advancing Interpretable Machine Learning fo |
|---|---|
| Award ID | 2227495 |
| Awardee | University of Oklahoma Norman Campus |
| City | NORMAN |
| State | OK |
| Amount obligated | $370,102 |
| Principal investigator | Jin-Song Pei |
| Program | BRITE-BoostRschIdeasTransEquit |
| Start date | 01/01/2023 |
| Abstract | This Boosting Research Ideas for Transformative and Equitable Advances in Engineering (BRITE) Relaunch award will focus on advancing interpretable machine learning to match modeling accuracy with transparency. This will provide structural engineers with a superior and trustworthy tool to model nonlinear dynamical systems. Modeling the complex behaviors of structures and materials under various types of dynamic loads remains a major challenge for smart structures, structural control, nonlinear sy |
| Source | NSF Awards |
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