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  4. Comparison of Prediction Models for Sonic Boom Ground Signatures Under Realistic Flight Conditions
 
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Comparison of Prediction Models for Sonic Boom Ground Signatures Under Realistic Flight Conditions

Citation Link: https://doi.org/10.15480/882.14130
Publikationstyp
Journal Article
Date Issued
2024-11-22
Sprache
English
Author(s)
Jäschke, Jacob Jens  orcid-logo
Lufttransportsysteme M-28  
Graziani, Samuele  
Petrosino, Francesco  
Glorioso, Antimo  
Gollnick, Volker  
Lufttransportsysteme M-28  
TORE-DOI
10.15480/882.14130
TORE-URI
https://tore.tuhh.de/handle/11420/52740
Journal
Aerospace  
Volume
11
Issue
12
Article Number
962
Citation
Aerospace 11 (12): 962 (2024)
Publisher DOI
10.3390/aerospace11120962
Scopus ID
2-s2.0-85213261946
Publisher
Multidisciplinary Digital Publishing Institute
This paper presents a comparative analysis of simplified and high-fidelity sonic boom prediction methods to assess their applicability in the conceptual design of supersonic aircraft. The high-fidelity approach combines Computational Fluid Dynamics (CFD) for near-field shock analysis with ray-tracing and the Augmented Burgers Equation for far-field propagation through a non-uniform atmosphere, whereas the simplified Carlson method uses analytical approximations for rapid predictions. The comparison across selected climb, cruise, and descent conditions for a supersonic reference aircraft shows that the Carlson method captures general trends in sonic boom behavior, such as changes in peak overpressure and signal duration with varying Mach number and altitude. However, significant deviations are noted under realistic atmospheric conditions, highlighting limitations in the simplified model’s accuracy. Common psycho-acoustic metrics were evaluated to assess the potential annoyance on the ground. The results demonstrate that while the simplified method is effective for early-stage design assessments, the high-fidelity model is essential for precise sonic boom characterization under realistic conditions, particularly for regulatory and community impact evaluations.
DDC Class
629.1: Aviation
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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