Somayye Siahat-Nosrati, Sana Mandouzei, Saeed Hosseini

DOI Number: N/A

Conference number: HiSST-2025-142

This research presents the development of a methodology for conceptual multidisciplinary design and optimization of supersonic civil aircraft, and the developed process is implemented within an automated aircraft design framework. The framework integrates low-fidelity and high-fidelity methods to address the unique challenges of supersonic transport, including aerodynamics, , propulsion, performance, and weight. Key features of the framework include a parametric geometry modeling tool, a surrogate optimization methodology, and a modular architecture for integrating multiple disciplines. A case study is conducted for the design of a Mach 1.6, 72-passenger aircraft with a range of 7,000 km. The aircraft configuration is developed using rapid engineering methods, area ruling requirements, and a modular optimization process. The subsonic emission analysis methodology is supplemented with methods for the estimation of emissions at supersonic speed. The results demonstrate the feasibility of the proposed design, with detailed aircraft characteristics and dimensions provided. Future work will focus on incorporating high-fidelity structural weight estimation, supersonic emission analysis, and sonic boom
constraints to further enhance the framework’s capabilities.

Read the full paper here

Email
Print
LinkedIn
The paper above was part of  proceedings of a CEAS event and as such the author has signed a publication agreement to have their paper published in the repository. In the case this paper is found somewhere else CEAS always links to the other source.  CEAS takes great care in making the correct content available to the reader. If any mistakes are found  in the listings please contact us directly at papers@aerospacerepository.org and we will correct the listing promptly.  CEAS cannot be held liable either for mistakes in editorial or technical aspects, nor for omissions, nor for the correctness of the content. In particular, CEAS does not guarantee completeness or correctness of information contained in external websites which can be accessed via links from CEAS’s websites. Despite accurate research on the content of such linked external websites, CEAS cannot be held liable for their content. Only the content providers of such external sites are liable for their content. Should you notice any mistake in technical or editorial aspects of the CEAS site, please do not hesitate to inform us.