[en] This paper presents an application of ARMAV models in the fields of system identification and damage detection. It is shown how to estimate the modal parameters as well as their uncertainties only on the basis of output measurements, simply assuming that the excitation is a zero-mean stationary Gaussian white noise. The uncertainties estimation can be used for damage detection. Knowing the modal parameters and their uncertainties, it is possible to assess whether changes of modal parameters are caused by e.g. a damage or simply by estimation inaccuracies. The identification and damage detection method is illustrated on the “Steel-Quake” benchmark proposed in the framework of COST Action F3 “Structural Dynamics”. This structure is used at the Joint Research Centre in Ispra (Italy) to test steel buildings performance during earthquakes. The obtained results indicate the effectiveness of the method in estimating modal characteristics and their uncertainties.
Disciplines :
Mechanical engineering
Author, co-author :
BODEUX, Jean-Bernard; Université de Liège - ULiège > LTAS - Vibrations et Identification des Structures
Golinval, Jean-Claude ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures
Language :
English
Title :
ARMAV Model Technique for System Identification and Damage Detection
Publication date :
2000
Event name :
European COST F3 Conference on System Identification & Structural Health Monitoring