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Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia, 2021, Volume 501, Pages 74–78
DOI: https://doi.org/10.31857/S268695432106014X
(Mi danma225)
 

This article is cited in 1 scientific paper (total in 1 paper)

MATHEMATICS

Mathematical modeling of neo-Hookean material growth

P. I. Plotnikov

Lavrentyev Institute of Hydrodynamics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
Full-text PDF (159 kB) Citations (1)
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Abstract: A mathematical model of the volumetric growth of an incompressible neo-Hookean material is derived. Models of this type are used to describe the evolution of the human brain under the action of an external load. In the paper, we show that the space of deformation fields in a homeostatic state coincides with the Möbius group of conformal transforms in $\mathbb{R}^3$. We prove the well-posedness of the linear boundary value problem obtained by linearizing the governing equations around a homeostatic state. The behavior of solutions when the time variable tends to infinity is studied. The main conclusion is that changes in the material, caused by a temporary increase in pressure (hydrocephalus) are irreversible.
Keywords: volumetric growth, neo-Hookean material, Stokes equations, Möbius group.
Funding agency Grant number
Russian Science Foundation 19-11-00069
This work was supported by the Russian Science Foundation, project no. 19-11-00069.
Received: 15.09.2021
Revised: 15.09.2021
Accepted: 04.10.2021
English version:
Doklady Mathematics, 2021, Volume 104, Issue 3, Pages 380–384
DOI: https://doi.org/10.1134/S1064562421060144
Bibliographic databases:
Document Type: Article
UDC: 517.95
Language: Russian
Citation: P. I. Plotnikov, “Mathematical modeling of neo-Hookean material growth”, Dokl. RAN. Math. Inf. Proc. Upr., 501 (2021), 74–78; Dokl. Math., 104:3 (2021), 380–384
Citation in format AMSBIB
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\transl
\jour Dokl. Math.
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\pages 380--384
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  • This publication is cited in the following 1 articles:
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    Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia
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