Towards extraction of vibration-based damage indicators

Maria Pina Limongelli (1) , Eleni Chatzi (2) , Michael Döhler (3) , Geert Lombaert (4) , Edwin Reynders (4)

1 Department Architecture, Built Environment and Construction Engineering [Milano]
2 IBK - Institute of Structural Engineering [Zurich]
3 I4S - Statistical Inference for Structural Health Monitoring
4 Department of Civil Engineering [Leuven]

After a brief review of vibration based damage identification methods, three different algorithms for damage identification are applied to the case of the benchmark Z24 bridge in this paper. Data-driven as well as model-based methods are discussed, including input-output algorithms for taking into account the effect of environmental and/or operational sources on the variability of damage features. A further class of data-driven methods that use finite element information is finally introduced as a possible future development.

Mots clés: vibration based damage assessment; data driven; model based; operational con-ditions; Z24 bridge

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

Maria Pina Limongelli, Eleni Chatzi, Michael Döhler, Geert Lombaert, Edwin Reynders. Towards extraction of vibration-based damage indicators. EWSHM - 8th European Workshop on Structural Health Monitoring, Jul 2016, Bilbao, Spain. ⟨hal-01344178⟩