The innovative Pegasus 5 software is used by nearly every NASA aerospace program to easily handle complex grid simulations for new vehicle designs.
Aerospace engineers are exploring the potential of using an innovative flap system to reshape wings during flight to increase performance — and save fuel.
First-of-a-kind simulations run on the Pleiades supercomputer are helping scientists untangle the intricate thread of events that lead to star formation.
High-performance computers and simulation tools are key to helping NASA and industry design new propulsion systems that will result in cleaner, quieter aircraft.
Bringing together observations made by NASA's IRIS spacecraft with simulations run on Pleiades, scientists are studying the Sun's atmosphere more closely than ever before.
02.03.16 – Using the NAS facility's high-end computing resources, astronomers at the Harvard-Smithsonian Center for Astrophysics have—for the first time—been able to include the magnetic fields of stars in computer simulations where a star is "pulled apart and stretched," giving a clue about how the stars in the center of our galaxy respond to straying too close to a monster black hole. Read More
01.26.17 – Using NASA High-End Computing Capability resources, researchers from the University of Colorado Boulder and Dalhousie University in Halifax, Nova Scotia, were able to map out pollution flow patterns world-wide and determine how cookstove emissions in one country can cause problems hundreds of miles away. Read More
01.11.17 – For decades, NASA has used computer models to simulate the flow of air around aircraft in order to test designs and improve the performance of next-generation vehicles. At NASA’s Ames Research Center in California’s Silicon Valley, researchers recently used this technique to explore the aerodynamics of a popular example of a small, battery-powered drone, a modified DJI Phantom 3 quadcopter. Read NASA Ames feature Read WIRED magazine feature
Building N258, Auditorium (Rm 127)
Speaker: Gaetan Kenway, University of Michigan
This talk will address the dual challenge of performing high-fidelity aerostructural optimization with a large number of design variables. The key enabling component is the coupled adjoint method allowing the use of efficient gradient-based optimization techniques. The main components of an aero-structural optimization framework will be discussed, including CFD solver, load and displacement transfer, structural solver, mesh deformation and geometric manipulation method.
AMS Seminar Website