Dr.-Ing. Dmytro Pivovarov

Department of Mechanical Engineering
Institute of Applied Mechanics (Prof. Dr. Steinmann)

Room: Room 00.021
Paul-Gordan-Strasse 3
91052 Erlangen

  • Multi-scale, Multi-physics Modelling and Computation of magneto-sensitive POLYmeric materials

    (Third Party Funds Single)

    Term: 1. April 2012 - 31. March 2017
    Funding source: EU - 7. RP / Ideas / ERC Advanced Investigator Grant (AdG)

    MOCOPOLY is a careful revision of an AdG2010-proposal that was evaluated above the quality threshold in steps1&2. In the meantime the applicant has made further considerable progress related to the topics of MOCOPOLY. Magneto-sensitive polymers (elastomers) are novel smart materials composed of a rubber-like matrix filled with magneto-active particles. The non-linear elastic characteristics of the matrix combined with the magnetic properties of the particles allow these compounds to deform dramatically in response to relatively low external magnetic fields. The rapid response, the high level of deformations achievable, and the possibility to control these deformations by adjusting the external magnetic field, make these materials of special interest for the novel design of actuators for a fascinating variety of technological applications. It is the overall objective of this proposal to uncover the process-microstructure-properties relations of the emerging novel multi-scale, multi-physics material class of magneto-sensitive polymers with the aim to better exploit its promising potential for future, currently unimagined technological applications. This objective will only be achieved by performing integrated multi-disciplinary research in fabrication, characterisation, modelling, simulation, testing and parameter identification. This proposal therefore sets up a work programme consisting of nine strongly interconnected work packages that are devoted to:1) Fabrication of magneto-sensitive polymers2) microstructure characterisation by modelling and simulation3) microstructure characterisation by CT-scanning4) continuum physics modelling at the micro-scale5) computational multi-physics homogenisation6) continuum physics modelling at the macro-scale7) testing at the macro-scale8) multi-scale parameter identification9) macro-scale parameter identification.The work programme is therefore characterised by various feedback loops between the work packages.

  • A hybrid Sampling-Stochastic-Finite-Element-Method for polymorphic, microstructural uncertainties in heterogeneous materials

    (Third Party Funds Group – Sub project)

    Overall project: SPP 1886: Polymorphic uncertainty modelling for the numerical design of structures
    Term: 1. January 2016 - 31. March 2020
    Funding source: DFG / Schwerpunktprogramm (SPP)

    The overarching goal of the proposed project at the methodological side is to establish a computationally tractable numerical method that is suited to capture polymorphic uncertainties in large-scale problems (as arising from the numerical analysis of heterogeneous materials microstructures). On the one hand the method will allow for fuzzy probability distributions of the random parameters (describing a microstructures geometry) and on the other hand the method will be based on only a few reduced basis modes. These ingredients will enable to capture epistemic uncertainties in addition to aleatoric uncertainties in a computationally accessible manner. The overarching goal of the proposed project at the application side is to establish a non-deterministic macroscopic material model. On the one hand the model accounts for the heterogeneity of the underlying material's microstructure by computational homogenization, and on the other hand it captures polymorphic uncertainties in the geometry description of the microstructure. The non-deterministic macroscopic material model then represents the necessary input for the mechanical design of macroscopic (engineering) structures under due consideration of polymorphic uncertainties in the heterogeneous materials microstructure.