In parallel to the development of methods to measure fields applied to structural dynamics, the VAST team carries out research on data assimilation methods aimed at feeding in real-time the link between a dynamic system and its numerical twin.

The methods developed are based on Bayesian stochastic approaches (Kalman filters) and built with systems of states obtained from structural and solid dynamics.

The data assimilation studies are supplied by very different sensor technologies including high-speed cameras, accelerometers, force sensors, etc. and aim at enhancing the quality of models and capitalising the results of simulations and measures.

These techniques are developed in different areas of application (structural dynamics, multibody dynamics, analysis of the dynamic failure modes of a production line) with different industrial partners in aeronautics, automobiles and cosmetics (AIRBUS, SOPEMEA PSA, PUIG, PKB, VISIOLASER)

The digital twin in few minutes...