Sensitivity Evaluation of Subspace-based Damage Detection Method to Different Types of Damage

Saeid Allahdadian (1) , Carlos Ventura (1) , Palle Andersen (2) , Laurent Mevel (3) , Michael Döhler (3)

1 UBC - University of British Columbia
2 SVIBS - Structural Vibration Solutions
3 I4S - Statistical Inference for Structural Health Monitoring

In this paper we investigate a damage detection technique based on the subspace method by applying it to an existing bridge structure model. A reference state of the structure is evaluated using this technique and subsequently its modal parameters are indirectly compared to the current state of the structure. There are no modal parameters estimated in this method. A subspace-based residual between the reference and possibly damaged states is defined independently from the input excitations employing a chi2 test and then is compared to a threshold corresponding to the reference state. This technique is applied to a model of the bridge structure located in Reibersdorf, Austria. The structure is excited randomly with white noise at different locations and the output data is generated at typical locations instrumented and measured in a bridge. Various damages are simulated in different elements and the sensitivity of the method to each type and ratio of damages is assessed. This evaluation is performed by comparing the prediction of the damage state using this technique and the simulated damage of the structure. It can be inferred from the results that in general the statistical subspace-based damage detection technique recognizes most of the damage cases, except the ones with insignificant change in the global dynamic behaviour.

Mots clés: health monitoring; damage detection; subspace method; statistical damage detection; bridge damage

Domaines: Dynamique, vibrations; Applications [stat.AP]

Saeid Allahdadian, Carlos Ventura, Palle Andersen, Laurent Mevel, Michael Döhler. Sensitivity Evaluation of Subspace-based Damage Detection Method to Different Types of Damage. IMAC - 33rd International Modal Analysis Conference, Feb 2015, Orlando, United States. ⟨10.1007/978-3-319-15230-1_2⟩. ⟨hal-01109650⟩