Structural Damage Detection through Chaotic Interrogation and Attractor Analysis
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.
Q. H. Qiu et al., "Structural Damage Detection through Chaotic Interrogation and Attractor Analysis", Advanced Materials Research, Vols. 163-167, pp. 2515-2520, 2011