Paper
21 July 2004 Health monitoring of an aeroelastic system with a freeplay nonlinearity
Author Affiliations +
Abstract
In past work we have demonstrated a vibration based health monitoring methodology which was experimentally validated on several plate and beam systems. The method is based on processing time series data by transforming the data into a state space object, an attractor, and then identifying geometric features of the attractor. The system's structural health or level of damage is monitored by tracking the evolution of the geometric feature as the system evolves. Our previous research indicated that low dimensional inputs work best for characterizing the features. Also discovered was the fact that the features could be characterized with minimal performance loss by using a band limited noise input. The current work assess whether an ambient excitation can serve as the input to the structure and still successfully identify and track geometric features of the system in much the same way that the band limited noise was able to characterize the system. The system in question is a 2D typical section airfoil model with a control surface. A reduced order aerodynamic approach developed by Peters is used to model the fluid loading on the structure. Damage is induced on the structure by introducing increasing amounts of freeplay in the restoring torque of the control surface. The novel and most important component of the model from the stand point of implementing an on-line structural health monitoring system is the use of an ambient source of excitation namely atmospheric gust loading.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen T. Trickey, Mark Seaver, and Jonathan M. Nichols "Health monitoring of an aeroelastic system with a freeplay nonlinearity", Proc. SPIE 5394, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III, (21 July 2004); https://doi.org/10.1117/12.540088
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Aerodynamics

Atmospheric modeling

Error analysis

Systems modeling

Control systems

Structural health monitoring

Atmospheric monitoring

Back to Top