@inproceedings{ce45dde50d2345398552a5bc6f96f572,
title = "Reduced-Order Modeling and Parameter Identification of Wind Tunnel Measurement Systems",
abstract = "We present a method to develop a physics-based, reduced-order model of a wind tunnel measurement system (including a sting, strain gage force balance, and test article) that can be used to predict the dynamics of the system. This reduced-order model is combined with a simple finite element beam model of a sting to estimate the dynamics of the full assembly. We make comparisons between a full finite element model and the hybrid reduced-order model to show that this hybrid reduced-order model is capable of predicting the first six natural frequencies to within 10\% error. This technique could be used to identify reduced-order parameters for a large number of balances and stings, which could then be used to estimate the dynamics of different measurement assemblies.",
author = "Jones, \{Zachary T.\} and Vlajic, \{Nicholas A.\} and Parker, \{Peter A.\} and Burns, \{Devin E.\}",
note = "Publisher Copyright: {\textcopyright} 2023, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA SciTech Forum and Exposition, 2023 ; Conference date: 23-01-2023 Through 27-01-2023",
year = "2023",
doi = "10.2514/6.2023-2700",
language = "English (US)",
isbn = "9781624106996",
series = "AIAA SciTech Forum and Exposition, 2023",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA SciTech Forum and Exposition, 2023",
}