Abstract

This paper proposes a framework for the design optimization of geometric nonlinearities developed by active elements embedded in prestressable, statically indeterminant, truss-like aerospace structures for the purpose of attenuating their dynamic aeroelastic response under turbulent aerodynamic gust conditions. Dynamic aeroelastic responses are analyzed considering random power spectral density (PSD) gust with a continuous Davenport spectrum (DS) and tuned discrete gust (TDG) with a one-minus-cosine (OMC) wind excitation profiles. A genetic optimization algorithm (GA) is utilized to determine optimal prestress values through active element actuations for the purpose of tuning the geometric stiffness and, therefore, the modal response of the structure when exposed to gust excitations. In addition, a new simplified control metric for comparing active member locations is proposed. A case study is analyzed with this methodology to minimize the pointing error of a simplified antenna structure. Pointing error attenuations of 22.1% and 17.0% were found for the structure under DS mean wind speeds of 889 (349.95) and 2,778  cm/s (1,093.61  in./s), respectively. Using the same two operating cases with the TDG excitation profile resulted in the overall pointing error to be reduced by 36.8% and 37.0%, respectively. The adaptive nature of the presented methodology allows a single actuator layout to mitigate structural response for a variety of load cases, which is a large benefit over many traditionally passive techniques. This paper expands the existing usage of geometric nonlinearities to determine optimal active element location and actuations for given optimization objectives under realistic environmental loading conditions.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

Professor Mostafa S. A. ElSayed acknowledges the financial support provided by the Natural Sciences and Engineering research Council of Canada (Grant No. CRDPJ 530880—18) in collaboration with Intertronic Solutions and the National Aeronautics and Space Administration (NASA). The authors would like to extend their acknowledgments to the engineers of the Goddard Space Flight Center of NASA for their support.

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 35Issue 6November 2022

History

Received: Nov 5, 2021
Accepted: Apr 27, 2022
Published online: Aug 26, 2022
Published in print: Nov 1, 2022
Discussion open until: Jan 26, 2023

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William P. Parsons [email protected]
Graduate Student, Dept. of Mechanical and Aerospace Engineering, Carleton Univ., 1125 Colonel By Dr., Ottawa, ON, Canada K1S 5B6. Email: [email protected]
Victor E. L. Gasparetto [email protected]
Graduate Student, Dept. of Mechanical and Aerospace Engineering, Carleton Univ., 1125 Colonel By Dr., Ottawa, ON, Canada K1S 5B6. Email: [email protected]
Professor of Aerospace Engineering, Dept. of Mechanical and Aerospace Engineering, Carleton Univ., 1125 Colonel By Dr., Ottawa, ON, Canada K1S 5B6 (corresponding author). ORCID: https://orcid.org/0000-0002-0741-528X. Email: [email protected]
Mohamed Saad [email protected]
President, Intertronic Solutions Inc., 1701 Rue Chicoine, Vaudreuil-Dorion, QC, Canada J7V 8P2. Email: [email protected]
Stephen Shield [email protected]
Chief Engineer, Intertronic Solutions Inc., 1701 Rue Chicoine, Vaudreuil-Dorion, QC, Canada J7V 8P2. Email: [email protected]
Gary L. Brown [email protected]
Program Manager, NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD 20771. Email: [email protected]
Lawrence M. Hilliard [email protected]
Very Long Baseline Interferometry Global Observing System Technologist, NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD 20771. Email: [email protected]

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