EconPapers    
Economics at your fingertips  
 

An Anisotropic Micro-Sphere Approach Applied to the Modelling of Soft Biological Tissues

A. Menzel (), T. Waffenschmidt () and V. Alastrué ()
Additional contact information
A. Menzel: Institute of Mechanics, Department of Mechanical Engineering, TU Dortmund
T. Waffenschmidt: Institute of Mechanics, Department of Mechanical Engineering, TU Dortmund
V. Alastrué: University of Zaragoza, Group of Structural Mechanics and Materials Modelling, Aragón Institute of Engineering Research (I3A)

A chapter in Numerical Mathematics and Advanced Applications 2009, 2010, pp 637-644 from Springer

Abstract: Abstract A three-dimensional model for the simulation of anisotropic soft biological tissues is discussed. The underlying constitutive equations account for large strain deformations and are based on a hyper-elastic form. As various soft biological tissues are nearly incompressible, we adopt the classical volumetric-isochoric split of the strain energy density. While its isotropic part is chosen to take a standard neo-Hookean form, its anisotropic part is determined by means of the so-called micro-sphere model. In this regard, physically sound one-dimensional constitutive models – as for instance the worm-like chain model – can be used and straightforwardly be extended to the three-dimensional case. As a key aspect, the micro-sphere model is extended to further capture remodelling. Such deformation-induced anisotropy is introduced by setting up evolution equations for the integration directions used to perform numerical integrations on the unit-sphere. The particular model proposed captures orthotropic material behaviour and additionally accounts for saturation effects combined with a visco-elasticity-type time-dependent anisotropy evolution.

Keywords: Strain Energy Density; Soft Biological Tissue; Anisotropic Part; Green Strain Tensor; Anisotropic Contribution (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-11795-4_68

Ordering information: This item can be ordered from
http://www.springer.com/9783642117954

DOI: 10.1007/978-3-642-11795-4_68

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-3-642-11795-4_68