Sonic Boom Minimization Using Improved Linearized Tools and Probabilistic Propagation

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/10738

Title: Sonic Boom Minimization Using Improved Linearized Tools and Probabilistic Propagation
Author: Rallabhandi, Sriram Kishore ; Mavris, Dimitri N.
Abstract: Sonic boom modelling is multidisciplinary involving aerodynamic and aero-acoustics analyses. The near field pressure signature is first obtained using either linearized or non-linear methods. This is then converted into a F-function, which is then propagated to the ground using aero-acoustic routines. Existing linearized methods operate on simple approximations of true geometry. Using improved linearized tools that operate on unstructured water-tight geometries, the accuracy and efficacy of shape optimization can be greatly improved. The sonic boom minimization technique is reformulated as an optimization problem and boom propagation is carried out in a probabilistic fashion. A bi-level reverse optimization is conducted to design aircraft to meet low sonic boom requirements under atmospheric uncertainty.
Description: Presented at the 43rd Aerospace Sciences Meeting and Exhibit, Reno NV, Jan 10-13, 2005
Type: Paper
URI: http://hdl.handle.net/1853/10738
Date: 2005-06-10
Relation: ASDL;AIAA-Reno
Publisher: Georgia Institute of Technology
Subject: Sonic boom minimization techniques
Shape optimization
Near field pressure signature
Aero-acoustics analysis
Aerodynamic analysis

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