A new data assimilation framework using the modified Constitutive Relation Error for online structural monitoring: application to shaking-table experiments

Matthieu Diaz (1) , Pierre-Étienne Charbonnel (2) , Ludovic Chamoin (1, 3)

1 LMPS - Laboratoire de Mécanique Paris-Saclay
2 EMSI - Laboratoire d'Etudes de Mécanique Sismique
3 IUF - Institut universitaire de France

Mots clés: Data assimilation; Kalman filtering; modified Constitutive Relation Error; Low-frequency dynamics; Shaking-table experiments; Earthquake Engineering

Domaines: Mécanique des structures [physics.class-ph]; Dynamique, vibrations

Matthieu Diaz, Pierre-Étienne Charbonnel, Ludovic Chamoin. A new data assimilation framework using the modified Constitutive Relation Error for online structural monitoring: application to shaking-table experiments. 8th European Congress on Computational Methods in Applied Sciences and Engineering - ECCOMAS Congress 2022, Jun 2022, Oslo, Norway. ⟨hal-03698706⟩