MOMENTUM • VIRGINIA TECH MECHANICAL ENGINEERING 7
This application of machine learning with simulation data will also provide additional possibilities for field engineers to more accurately assess the hazards for their specific plant . Field conditions are typically not the same as data set conditions . Machine learning models developed in this research will be able to rapidly translate what the appropriate hazard event conditions are for the given field conditions .
Duarte ’ s lab members in a photo taken before the COVID-19 pandemic . Front row , left to right : Bruno Serrao , Paul Hurley , Juliana Duarte , Abdulsalam Shakhatreh . Back row , left to right : Elvan Sahin , Jeric Demasana , Abdulla Alblooshi , Nick Burns .
While the scope of the initial call from the Department of Energy was centered on fire modeling , the group ’ s techniques could also be used for other kinds of prediction . By using adapted versions of this methodology , the impact of additional events , such as hurricanes , earthquakes and tsunamis , could also be anticipated .