Document Detail


Computational study of the elastic properties of Rheum rhabarbarum tissues via surrogate models of tissue geometry.
MedLine Citation:
PMID:  24480253     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Plant petioles and stems are hierarchical cellular structures, displaying geometrical features defined at multiple length scales. One or more of the intermediate hierarchical levels consists of tissues, in which the cellular distribution is quasi-random, a factor that affects the elastic properties of the tissues. The current work focuses on the finite element analysis (FEA) of the constituent tissues of the plant Rheum rhabarbarum (rhubarb). The geometric model is generated via a recently introduced method: the finite edge centroidal Voronoi tessellation (FECVT), which is capable to capture the gradients of cellularity and diversified pattern of cellular materials, as opposed to current approaches in literature. The effective stiffness of the tissues is obtained by using an accurate numerical homogenization technique via detailed finite element analysis of the models of sub-regions of the tissues. As opposed to a large-scale representative volume element (RVE), statistical volume elements (SVE) are considered in this work to model tissue microstructures that are highly random. 2D finite element analyses demonstrate that the distribution of cells in collenchyma and parenchyma tissue make them stiffer in two different directions, while the overall effect of the combined tissues results in approximately equal stiffness in both directions. The rhubarb tissues, on the other hand, are more compliant than periodic and quasi-uniform random cellular materials by a factor of up to 47% and 44%, respectively. The variations of the stiffness shows the stiffening role that cell shape, size, and graded cellular distribution play in the mechanics of the rhubarb tissue.
Authors:
Tanvir R Faisal; Nicolay Hristozov; Tamara L Western; Alejandro D Rey; Damiano Pasini
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-1-27
Journal Detail:
Title:  Journal of structural biology     Volume:  -     ISSN:  1095-8657     ISO Abbreviation:  J. Struct. Biol.     Publication Date:  2014 Jan 
Date Detail:
Created Date:  2014-1-31     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9011206     Medline TA:  J Struct Biol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014. Published by Elsevier Inc.
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