MODEL UPDATING OF A NONLINEAR EXPERIMENTAL VEHICLE USING SUBSTRUCTURING AND UNSCENTED KALMAN FILTERING

@inproceedings{Tsotalou2017MODELUO,
  title={MODEL UPDATING OF A NONLINEAR EXPERIMENTAL VEHICLE USING SUBSTRUCTURING AND UNSCENTED KALMAN FILTERING},
  author={Maria Tsotalou and Dimitrios Giagopoulos and Vasilis K. Dertimanis and E. Chatzi},
  year={2017}
}
This study establishes a computational framework for nonlinear finite element (FE) model updating of large-scale structures, through the exploration of two case studies pertaining to a spring-mass-damper chain model and to a laboratory vehicle with nonlinear suspensions. The proposed approach combines a substructuring model reduction approach with a near realtime system identification scheme, namely the Unscented Kalman Filter (UKF). The former aims at isolating and locally updating individual… CONTINUE READING

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