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Linearization in magnetoelasticity

  • Stefano Almi ORCID logo , Martin Kružík ORCID logo und Anastasia Molchanova ORCID logo EMAIL logo
Veröffentlicht/Copyright: 7. Februar 2025

Abstract

Starting from a model of nonlinear magnetoelasticity where magnetization is defined in the Eulerian configuration while elastic deformation is in the Lagrangian one, we rigorously derive a linearized model that coincides with the standard one that already appeared in the literature and where the zero-stress strain is quadratic in the magnetization. The relation of the nonlinear and linear model is stated in terms of the Γ-convergence and convergence of minimizers.

MSC 2020: 74F15; 74B15; 35Q74; 49J45

Funding source: Austrian Science Fund

Award Identifier / Grant number: 10.55776/P35359

Award Identifier / Grant number: 10.55776/V1042

Award Identifier / Grant number: 2022HKBF5C

Award Identifier / Grant number: 21-06569K

Award Identifier / Grant number: 23-04766S

Award Identifier / Grant number: 8J22AT017

Award Identifier / Grant number: 847693

Funding statement: This research was funded in whole or in part by the Austrian Science Fund (FWF) [10.55776/P35359] and [10.55776/V1042]. For open access purposes, the authors have applied a CC BY public copyright license to any author accepted manuscript version arising from this submission. The work of Stefano Almi was funded by the Italian Ministry of Education and Research through the PRIN 2022 project “Variational Analysis of Complex Systems in Material Science, Physics and Biology” No. 2022HKBF5C, and by the University of Naples Federico II through the FRA project “Regularity and Singularity in Analysis, PDEs, and Applied Sciences”. Martin Kružík was supported by the GAČR-FWF project 21-06569K, GAČR project 23-04766S, and by the Ministry of Education, Youth and Sport of the Czech Republic through the bilateral project 8J22AT017. Anastasia Molchanova was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Składowska-Curie grant agreement No. 847693.

Acknowledgements

Stefano Almi acknowledges the hospitality of the University of Vienna and the TU Wien, where part of this work has been done. Stefano Almi and Anastasia Molchanova acknowledge the kind hospitality of the ESI Institute (Vienna) during the workshop “New perspective on Shape and Topology Optimization”. Finally, the authors would like to express their gratitude to the anonymous reviewers for careful reading and their comments and suggestions that helped to improve the manuscript.

  1. Communicated by: Irene Fonseca

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Received: 2024-02-21
Accepted: 2024-11-08
Published Online: 2025-02-07
Published in Print: 2025-04-01

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 9.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/acv-2024-0019/html
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