Dynamic-based performance updating of a high-speed concrete railway bridge
YANG ; DIELEMAN ; ORCESI
Type de document
COMMUNICATION AVEC ACTES INTERNATIONAL (ACTI)
Langue
anglais
Auteur
YANG ; DIELEMAN ; ORCESI
Résumé / Abstract
For high-speed lines under dynamic loads, the concrete can be submitted to significant loading effects, which may lead to a great change of the dynamic Young’s modulus of the concrete. The results of finite elements models and the on-site measurements may be different for concrete bridges due to the uncertainties of some parameters such as Young’s modulus. This paper presents a probabilistic computational framework for updating the parameters of a structural model according to the dynamic results obtained from experimental measurements. The technique for assessment of a bridge structure is presented with uncertain system parameters from structural acceleration responses with measurement noise. On one hand, the probabilistic model is realized in the interface of ANSYS Probabilistic Design System considering several parameters which possibly influence the dynamic characteristics of the bridge. An analysis of sensitivities of the parameters enables to determine parameters that should be considered when updating the numerical model. On the other hand, structure health monitoring is considered to obtain the characteristics of the bridge experimentally based on the system identification technique-random decrement technique. The procedure of Bayesian probabilistic framework is undertaken to update the input parameters of the structures. A concrete railway bridge PRA24270 of the high speed line in the eastern of France is presented to illustrate the applicability of the proposed procedure. System identification, Stochastic finite elements method, Model updating
