Jul 23 – 27, 2018
SISSA Main Building
Europe/Rome timezone

Model Order Reduction and Computational Homogenisation of Magnetorheological Elastomers

Jul 24, 2018, 11:20 AM
Meeting Room -- VII Floor (SISSA Main Building)

Meeting Room -- VII Floor

SISSA Main Building

Via Bonomea 265 34136 -- Trieste -- Italy
Contributed talks Users' track Contributed talks


Mr Benjamin Brands (Friedrich-Alexander-Universität Erlangen-Nürnberg)


The mechanical response of magnetorheological composites is highly affected by an applied magnetic field. Since a generally valid constitutive law does not exist for such heterogeneous materials, multiscale techniques like computational homogenisation are commonly used to approximate effective macroscopic properties. In our approach the macroscopic quantities at a material point of a magnetorheological elastomer are derived from the response of the underlying micro-structure, where the constitutive law is known, using first-order homogenisation. The computational cost of this nested solution scheme known as the FE² method prohibits the simulation of complex macroscopic problems. To mitigate the computational bottleneck the FE models on the microscale are replaced by reduced-order models (ROMs). In projection-based ROM the governing equations are projected onto the reduced basis, which is an approximation of the solution manifold of the parametrised partial differential equations (pPDE). The reduced basis is commonly constructed using previously computed solutions of the pPDE, e.g. by applying proper orthogonal decomposition or the reduced basis method. We will present our approach for the construction and computation of the reduced-order models on the microscale. Through various numerical examples the accuracy and time savings of the reduced models will be discussed.

Primary author

Mr Benjamin Brands (Friedrich-Alexander-Universität Erlangen-Nürnberg)


Denis Davydov (Friedrich-Alexander University Erlangen-Nuremberg) Dr Julia Mergheim (Friedrich-Alexander-Universität Erlangen-Nürnberg) Prof. Paul Steinmann (Friedrich-Alexander-Universität Erlangen-Nürnberg)

Presentation materials