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NIA Seminar by Sriram Rallabhandi |
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Date: January 5, 2007
Time: 2:00pm
Location: NIA, Rm 137
Conceptual Supersonic Aircraft Design and Analysis
Dr. Sriram Rallabhandi, Georgia Institute of Technology
As aircraft designs become more and more complex, there is a need to develop conceptual analyses methods that provide valuable information of the complete system rather than limiting to a particular aspect or discipline. To cater to this need, a multi-disciplinary approach encompassing various traditional as well as non-traditional analyses has been developed. This multi-disciplinary design approach attempts to include geometry modeling, aerodynamics, propulsion, stability/control, sizing and synthesis and sonic boom calculation into an enhanced interactive genetic algorithm to optimize conceptual configurations in a multi-objective design space. Additionally, to account for the un-measurable or computationally infeasible objectives, the genetic algorithm has the ability to accept periodic expert input to remove “bad” designs or add suitable configurations to the population as the optimization progresses. This not only induces user expertise into the design but also expedites the convergence process. Another aspect of the optimization procedure is the simultaneous treatment of the engine cycle and airframe parameters. Most often during conceptual design, only the airframe is optimized. This causes the power plant to be modified and scaled according to airframe constraints and parameters. This could lead to poor engine-airframe matching and as a consequence poor performance.
To overcome this problem and address engine-airframe integration issue, engine cycle parameters are optimized along with airframe geometry variables. Finally, sonic boom mitigation is of crucial importance in the design of commercial supersonic aircraft. Minimization of sonic boom noise while maintaining other performance criteria causes the aircraft design problem to be extremely challenging. In this presentation, sonic boom minimization methods would be discussed. Due to known limitations of using low fidelity models in achieving designs that meet low sonic boom target signatures, a procedure has been developed where geometries are generated using numerous parameters, perturbed according to user choices and optimized to meet target signatures using three dimensional panel methods. Most of the work carried out falls under geometry pre-processing and optimization with the panel method used as a black box. The presentation will also briefly talk about the enhancements to the sonic boom propagation.
Bio:
Dr. Sriram Rallabhandi completed his Bachelor of Technology in Aerospace Engineering at the Indian Institute of Technology, Kanpur in 2000. He obtained his MS and PhD in Aerospace Engineering from the Georgia Institute of Technology in 2002 and 2005 respectively. After graduation, he has been at Georgia Tech, first as a Post-doctoral Fellow and presently as a research faculty. His research interests include aircraft design, sonic boom mitigation and multi-disciplinary design optimization.
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