An aerodynamic dataset for AI-driven wind-resistant design optimization of bridges
Miguel Cid Montoya, Omar A. Mures, Sumit Verma, Ashustosh Mishra
April, 2025
Abstract
This presentation showcases a method for aerodynamic shape optimization of bridge decks. It involves generating a comprehensive aerodynamic database using CFD simulations and then training surrogate models on the data to expedite efficient evaluation of aerodynamic performance of different shapes.
Publication
SimCenter Community Roundtable: Fostering computational wind simulations in research and practice, Working Group on Wind and Water Simulation

Instructor
My research interests include Deep Learning, Computer Vision and Computer Graphics.