Nonlinear structural damage detection based on cascade of Hammerstein models

Marc Rebillat (1) , Rafik Hajrya (1) , Nazih Mechbal (1)

1 PIMM - Laboratoire Procédés et Ingénierie en Mécanique et Matériaux

Structural damages can result in nonlinear dynamical signatures that can significantly enhance their detection. An original nonlinear damage detection approach is proposed that is based on a cascade of Hammerstein models representation of the structure. This model is estimated by means of the Exponential Sine Sweep Method from only one measurement. On the basis of this estimated model, the linear and nonlinear parts of the output are estimated, and two damage indexes (DIs) are proposed. The first DI is built as the ratio of the energy contained in the nonlinear part of an output versus the energy contained in its linear part. The second DI is the angle between the subspaces obtained from the nonlinear parts of two set of outputs after a principal component analysis. The sensitivity of the proposed DIs to the presence of damages as well as their robustness to noise are assessed numerically on spring-mass-damper structures and experimentally on actual composite plates with surface-mounted PZT-elements. Results demonstrate the effectiveness of the proposed method to detect a damage in nonlinear structures and in the presence of noise.

Mots clés: Structural health monitoring; non-linear system identication; damage detection

Domaines: Intelligence artificielle [cs.AI]; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]; Matériaux et structures en mécanique [physics.class-ph]; Matériaux et structures en mécanique [physics.class-ph]; Vibrations [physics.class-ph]; Vibrations [physics.class-ph]

Marc Rebillat, Rafik Hajrya, Nazih Mechbal. Nonlinear structural damage detection based on cascade of Hammerstein models. Mechanical Systems and Signal Processing, 2014, 48 (1--2), pp.247 -- 259. ⟨10.1016/j.ymssp.2014.03.009⟩. ⟨hal-01001853⟩