Mechanics & Industry
Volume 21, Number 4, 2020
|Number of page(s)||12|
|Published online||25 June 2020|
Kinematic SAMI : a new real-time multi-sensor data assimilation strategy for nonlinear modal identification
QUARTZ-SUPMECA – Institut Supérieur de Mécanique de Paris,
3 rue Fernand Hainaut,
2 Univ Rennes, INSA Rennes, LGCGM - EA 3913, F-35000 Rennes, France
3 Université de Toulon, Bâtiment M, CS 60584, 83041 Toulon CEDEX 9, France
* e-mail: firstname.lastname@example.org
Accepted: 5 April 2020
In many engineering applications, the vibration analysis of a structure requires the set up of a large number of sensors. These studies are mostly performed in post processing and based on linear modal analysis. However, many studied devices highlight that modal parameters depend on the vibration level non linearities and are performed with sensors as accelerometers that modify the dynamics of the device. This work proposes a significant evolution of modal testing based on the real time identification of non linear parameters (natural frequencies and damping) tracked with a linear modal basis. This method, called Kinematic-SAMI (for multiSensors Assimilation Modal Identification) is assessed firstly on a numerical case with known non linearities and secondly in the framework of a classical cantilever beam with contactless measurement technique (high speed and high resolution cameras). Finally, the efficiency and the limits of the method are discussed.
Key words: Experimental modal analysis / Extended Kalman Filter / Data Assimilation / Nonlinear identification / Real-time
© AFM, EDP Sciences 2020
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