@inproceedings{303af7b603224f988edaaf3c0db55252,
title = "Structural damage detection through chaotic interrogation and attractor analysis",
abstract = "In this paper, a new approach for damage detection using a chaotic signal as an input excitation and steady state attractor-based measures as diagnostic parameters is investigated by means of numerical simulations. The method utilizes the deterministic, extreme sensitive properties of the chaotic signal to give rise to a low-dimensional response for feature extraction. This approach is applied to two numerical examples, the 4 DOF spring-mass-damper and a cantilevered beam system, where the damage is produced by varying the structural damping and stiffness, respectively. Lyapunov dimension is calculated as a {"}feature{"} for detecting the damage. Results show that this approach is feasible to detecting structural damage.",
keywords = "Attractor, Chaos interrogation, Lyapunov dimension, Structural damage detection",
author = "Qunhai Qiu and Chao Xu and Bin Wu",
year = "2011",
doi = "10.4028/www.scientific.net/AMR.163-167.2515",
language = "英语",
isbn = "9780878492060",
series = "Advanced Materials Research",
pages = "2515--2520",
booktitle = "Advances in Structures",
note = "2011 International Conference on Structures and Building Materials, ICSBM 2011 ; Conference date: 07-01-2011 Through 09-01-2011",
}