2020
DOI: 10.1088/1361-6544/ab95ab
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Homogenization of biomechanical models of plant tissues with randomly distributed cells

Abstract: In this paper homogenization of a mathematical model for biomechanics of a plant tissue with randomly distributed cells is considered. Mechanical properties of a plant tissue are modelled by a strongly coupled system of reaction-diffusion-convection equations for chemical processes in plant cells and cell walls, the equations of poroelasticity for elastic deformations of plant cell walls and middle lamella, and the Stokes equations for fluid flow inside the cells. The nonlinear coupling between the mechanics a… Show more

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Cited by 15 publications
(10 citation statements)
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“…with C independent from Q. Similarly, one obtains for the trace T that [24] T u L p (Q∩∂P) ≤ C u L p (Q∩P) + ∇u L p (Q∩P) .…”
Section: Berlin May 25 2021mentioning
confidence: 63%
See 1 more Smart Citation
“…with C independent from Q. Similarly, one obtains for the trace T that [24] T u L p (Q∩∂P) ≤ C u L p (Q∩P) + ∇u L p (Q∩P) .…”
Section: Berlin May 25 2021mentioning
confidence: 63%
“…In contrast, the homogenization on randomly perforated domains is still open to a large extend. Recent results focus on minimally smooth domains [9,24] or on decreasing size of the perforations when the smallness parameter tends to zero [8] (and references therein). The main issue in homogenization on perforated domains compared to classical homogenization problems is compactness.…”
mentioning
confidence: 99%
“…To obtain the value of B * and some information on the oscillating structure of u 1 , we introduce a cell problem related to ( 26)- (28). The structure of problem ( 26)-( 28) and jointly with equation ( 29) allow us to look for u 1 in the form…”
Section: Derivation Of the Upscaled Model 41 Formal Two-scale Asympto...mentioning
confidence: 99%
“…From a totally different perspective, it would be interesting to study how this type of twoscale asymptotics with drift can cope with an eventual stochasticity either in the geometry of the material (e.g. in the distribution and/or choice of shapes of the obstacles) or in the dynamics of the problem; see [28] and [22] for remotely related works.…”
Section: Introductionmentioning
confidence: 99%
“…Given ε > 0, we consider for a bounded domain Q ⊂ R d perforated by a random set G ε and write Q ε := Q\G ε . Typically, G ε ≈ εG where G is a stationary random set and G ε is additionally regularized close to ∂Q [GK15, FHL20,PP20]. We then study the following PDE on Q ε for the time interval I = [0, T ]:…”
Section: Introductionmentioning
confidence: 99%