     |
 |
     |
|
|
|
 Contact UsMap & DirectionsNews & EventsJobs At AspenResourcesPartnersHow To OrderWhy Buy Aspen?Our CustomersSuccess StoriesGov. & Edu. |
The George Washington University       The George Washington University is a private, "top 100" research institution of higher learning with a long, diverse academic and cultural history. Academic prowess is expressed in a myriad of ways: in the classroom, in the laboratory, in the study group, in the studio, online, in the library, on residence hall academic program floors, in academic & honor society clubs, and in academic or departmental social gatherings. Fast Facts:
The Mechanical and Aerospace Engineering Department at George Washington purchased three Beowulf clusters from Aspen Systems. These clusters are used by the Flow Simulations and Analysis Group. The Group is using their Aspen Systems clusters to do computational modeling, analysis, and simulation in the following areas:
 For more detailed samples of the models and simulations, download and view the following PDF file from our site: These systems were featured in a Wall Street Journal article on August 13, 2004 which discussed the application of supercomputer analysis in helping Olympian athletes swim faster: 
With recent advances in computer hardware and software, techniques such as
computational fluid dynamics (CFD) and computer animation and visualization (CAV)
can be brought to bear [upon research in swimming techniques]. The near term objective
of this research is to produce tangible results that can impact the performance of Team-USA
in the 2008 Olympics. In the long term, this research is expected to generate
research and development that will greatly improve our fundamental understanding of the
fluid dynamics and biomechanics of swimming and produce tools that can be used for
coaching, and assessing swimmers at all levels of performance.
 Dr. Rajat Mittal, Associate Professor, Department of Mechanical and Aerospace Engineering, The George Washington University
The objective of this work is to numerically simulate the
formation of a 3D synthetic jet, used in delaying/control of
flow separation that occurs over a wing. Such 3D numerical
simulations are computationally expensive involving large and
fine meshes, and therefore, require enormous computational
power, both in terms of memory and CPU hours. Our Aspen
Systems clusters have been essential to our timely success in
this endeavor.
Dr. Rajat Mittal, Associate Professor, Department of Mechanical and Aerospace Engineering, The George Washington University
Aspen Systems has been a great partner for us as we've built our cluster.
The technical support has been great and we continually look to Aspen for
new additions and upgrades to our system.
Dr. Rajat Mittal, Associate Professor, Department of Mechanical and Aerospace Engineering, The George Washington University |
|
