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Author: Davino, Daniele × Type: Report ×

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    On forward and inverse uncertainty quantification for models involving hysteresis operators
    (Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2018) Klein, Olaf; Davino, Daniele; Visone, Ciro
    Parameters within hysteresis operators modeling real world objects have to be identified from measurements and are therefore subject to corresponding errors. To investigate the influence of these errors, the methods of Uncertainty Quantification (UQ) are applied.
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    Analysis of an operator-differential model for magnetostrictive energy harvesting
    (Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2016) Davino, Daniele; Krejc̆í, Pavel; Pimenov, Alexander; Rachinskii, Dmitrii; Visone, Ciro
    We present a model of, and analysis of an optimization problem for, a magnetostrictive harvesting device which converts mechanical energy of the repetitive process such as vibrations of the smart material to electrical energy that is then supplied to an electric load. The model combines a lumped differential equation for a simple electronic circuit with an operator model for the complex constitutive law of the magnetostrictive material. The operator based on the formalism of the phenomenological Preisach model describes nonlinear saturation effects and hysteresis losses typical of magnetostrictive materials in a thermodynamically consistent fashion. We prove well-posedness of the full operatordifferential system and establish global asymptotic stability of the periodic regime under periodic mechanical forcing that represents mechanical vibrations due to varying environmental conditions. Then we show the existence of an optimal solution for the problem of maximization of the output power with respect to a set of controllable parameters (for the periodically forced system). Analytical results are illustrated with numerical examples of an optimal solution.