Achievement

Trainee Jason Graham has submitted a paper to the journal Physics of Fluids, about his work simulating turbulent flow over fractal tree canopies. He used renormalized numerical simulation (RNS) as a way to model sub-grid features of the trees. Recently he has begun direct numerical simulation of turbulent channel flow, and the resulting data has been ingested into the JHU Turbulence Database Cluster, which is publicly available. This Cluster has been developed as part of JHU's Institute for Data Intensive Engineering and Science (IDIES), which is a collaborative effort between Computer Science, Physics and Astronomy, Mechanical Engineers, and others. Many of the IGERT faculty and trainees are associated with IDIES, reflecting their commitment to the mission of openly available data as a means to advance science and engineering.