Structural health monitoring based on sensitivity vector fields and attractor morphing

Author:

Yin Shih-Hsun1,Epureanu Bogdan I1

Affiliation:

1. Department of Mechanical Engineering, University of MichiganAnn Arbor, MI 48109-2125, USA

Abstract

The dynamic responses of a thermo-shielding panel forced by unsteady aerodynamic loads and a classical Duffing oscillator are investigated to detect structural damage. A nonlinear aeroelastic model is obtained for the panel by using third-order piston theory to model the unsteady supersonic flow, which interacts with the panel. To identify damage, we analyse the morphology (deformation and movement) of the attractor of the dynamics of the aeroelastic system and the Duffing oscillator. Damages of various locations, extents and levels are shown to be revealed by the attractor-based analysis. For the panel, the type of damage considered is a local reduction in the bending stiffness. For the Duffing oscillator, variations in the linear and nonlinear stiffnesses and damping are considered as damage. Present studies of such problems are based on linear theories. In contrast, the presented approach using nonlinear dynamics has the potential of enhancing accuracy and sensitivity of detection.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Boundary transformation representation of attractor shape deformation;Chaos: An Interdisciplinary Journal of Nonlinear Science;2021-08

2. Pairwise graphical models for structural health monitoring with dense sensor arrays;Mechanical Systems and Signal Processing;2017-09

3. System Augmentation for Detection and Sensing: Theory and Applications;Handbook of Applications of Chaos Theory;2016-06

4. Damage detection with small data set using energy-based nonlinear features;Structural Control and Health Monitoring;2015-07-28

5. Maximizing Sensitivity Vector Fields: A Parametric Study;Journal of Computational and Nonlinear Dynamics;2014-02-12

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