Multilevel stochastic reduced-order model in linear structural dynamics for complex structures

Olivier Ezvan (1) , Anas Batou (1) , Christian Soize (1)

1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle

We present the construction of a multilevel stochastic reduced-order model devoted to the robust prediction of frequency response functions of complex linear dy-namical systems that are characterized by the presence of several structural scales in which there are local displacements in addition to the usual global displacements, and which are associated with the distinct low-, medium-, and high-frequency bands. As the levels of uncertainties are different in the three frequency bands, a multilevel stochastic reduced-order model using several orthogonal subspaces associated with the several types of displacements is developed. The objective of the paper is to demonstrate the capability of the multilevel stochastic reduced-order model to adapt the stochastic modeling of uncertainties to each one of the three frequency bands.

Mots clés: Uncertainty quantification; Reduced-order model; Structural dynamics; Multilevel model

Domaines: Mécanique [physics.med-ph]; Probabilités [math.PR]; Statistiques [math.ST]; Vibrations [physics.class-ph]

Olivier Ezvan, Anas Batou, Christian Soize. Multilevel stochastic reduced-order model in linear structural dynamics for complex structures. ECCOMAS 2016, 7th European Congress on Computational Methods in Applied Sciences and Engineering, Jun 2016, The Island of Crete, Greece. pp.1-12. ⟨hal-01353218⟩