Store release trajectory variability from weapon bays using scale-adaptive simulations

Loupy, G.J.M., Barakos, G.N. and Taylor, N.J. (2018) Store release trajectory variability from weapon bays using scale-adaptive simulations. AIAA Journal, 56(2), pp. 752-764. (doi: 10.2514/1.J056485)

Abstract

In this paper, scale-adaptive simulation is used to study store trajectory variability for releases from transonic weapon bays. The scale-adaptive simulation captures the essential physics of the flow in the weapon bay, and its speed of computation allows for several trajectories to be computed within reasonable time. The results of the simulations are treated as a statistical set and a metric is put forward to decide the minimum number of simulations necessary to establish the mean and the standard deviation of the releases. Averaging the results of all trajectories was useful in developing an overall understanding of the bay pressure field role on the store trajectories. Filtering the obtained trajectories provided insight in the flow frequencies affecting the forces acting on the store and the coordinates of its center of gravity during releases. For the store employed in this study, less than one month of CPU time is needed for the complete set of simulations to be obtained, making this method promising as a further test before flight testing.

• Item Type: Articles
• Additional Information: The financial support ofMBDA UK Ltd. is gratefully acknowledged. The use of the EPSRC funded ARCHIE-WeSt High Performance Computer (EPSRC grant no. EP/K000586/1) is also gratefully acknowledged.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Barakos, Professor George and Loupy, Gaëtan
• Authors: Loupy, G.J.M., Barakos, G.N., and Taylor, N.J.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Journal Name: AIAA Journal
• Publisher: American Institute of Aeronautics and Astronautics, Inc.
• ISSN: 0001-1452
• ISSN (Online): 1533-385X
• Published Online: 20 November 2017
• Copyright Holders: Copyright © 2017 The Authors
• First Published: First published in AIAA Journal 56(2):752-764
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.