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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 89
PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: M. Papadrakakis and B.H.V. Topping
Paper 37
A Micro-Macro Method for the Simulation of Plant Tissue Deformation P. Ghysels1, G. Samaey1, B. Tijskens2, H. Ramon2 and D. Roose1
1Department of Computer Science, 2Department of Biosystems,
P. Ghysels, G. Samaey, B. Tijskens, H. Ramon, D. Roose, "A Micro-Macro Method for the Simulation of Plant Tissue Deformation", in M. Papadrakakis, B.H.V. Topping, (Editors), "Proceedings of the Sixth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 37, 2008. doi:10.4203/ccp.89.37
Keywords: multi-scale, biological tissue, representative volume element, virial stress.
Summary
In this paper we present a micro-macro method for the computation of
large elastic deformations of plant tissue, based on the concept of
representative volume elements (RVEs) and similar to the approach
described by Kouznetsova et al. [1]. At the
microscopic level, we use a mass-spring model to describe the
geometric structure and basic properties of the onion epidermis
tissue [2]. The macroscopic domain is discretized
using standard finite elements, in which the unknown material
properties (the stress-strain relations) are computed using the
microscopic model in small subdomains (the RVEs). To these RVEs, a
macroscopic deformation is applied via appropriate boundary
conditions, and from the equilibrium solution, the corresponding
Cauchy stress tensor is computed via a virial stress formula. The
spatial elasticity tensor is estimated via forward differencing of the
Truesdell rate of the Cauchy stress.
We demonstrate via numerical experiments that the resulting computational multi-scale method converges to the solution of the full microscopic solution for successively refined meshes. We observed quadratic convergence for the Newton method for solving the nonlinear finite element equation, which ensures that the spatial elasticity tensor was correctly approximated. We also give an in-depth discussion on the computational efficiency of the method. We observe that by decoupling the full microscopic domain into many small microscopic simulations inside the RVEs, we can achieve a large speedup compared to a full microscopic simulation, this even when the separation in spatial scales is rather small. While, in the present paper, we have restricted ourselves to a finite element formulation of elastic deformation at the macroscopic level, we emphasize that the proposed multi-scale approach can also be gradually refined to deal with visco-elasto-plastic deformation. References
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