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Preliminary studies of flight sensoring for loads and aeroelastic parameters estimation of the NGCTR-TD wing
Author(s) -
A. Cardozo,
Jacopo Beretta,
Nicola Paletta,
Stephan Adden,
Marika Belardo,
Antonio Chiariello,
Luigi Di Palma
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1024/1/012030
Subject(s) - aeroelasticity , wing , strain gauge , modal , accelerometer , delta wing , rotor (electric) , structural engineering , operational modal analysis , modal analysis , engineering , control theory (sociology) , computer science , aerospace engineering , aerodynamics , finite element method , mechanical engineering , chemistry , control (management) , artificial intelligence , polymer chemistry , operating system
The paper presents the preliminary analyses carried out to estimate the accelerom-eters and strain gauges optimal configuration for the in-flight natural modes and internal loads identification of the Next Generation Civil Tilt Rotor Technology Demonstrator (NGTCTR-TD) wing. The optimal accelerometers’ configuration has been achieved with the aeroelastic model by taking into account the modal displacements of the targeted natural modes, requirements of space availability and accessibility. A further analysis has been set up to estimate the accel-eration peak on the wing by using a continuous turbulence model with a von Karman power spectral density. The optimal strain gauges’ configuration has been achieved as a subset of an initial layout by using the Skopinski methodology, where quality ratios and percentual errors lead to the identification of redundant and irrelevant measurements. This approach aims to recover the flight loads on the wing from an optimal set of strain measurements during flight. The present work has been a numerical study. A verification of the final Load Evaluation Matrix (LEM) has been performed using a set of validation load cases.

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