Literature DB >> 27131609

A general framework for application of prestrain to computational models of biological materials.

Steve A Maas1, Ahmet Erdemir2, Jason P Halloran3, Jeffrey A Weiss4.   

Abstract

It is often important to include prestress in computational models of biological tissues. The prestress can represent residual stresses (stresses that exist after the tissue is excised from the body) or in situ stresses (stresses that exist in vivo, in the absence of loading). A prestressed reference configuration may also be needed when modeling the reference geometry of biological tissues in vivo. This research developed a general framework for representing prestress in finite element models of biological materials. It is assumed that the material is elastic, allowing the prestress to be represented via a prestrain. For prestrain fields that are not compatible with the reference geometry, the computational framework provides an iterative algorithm for updating the prestrain until equilibrium is satisfied. The iterative framework allows for enforcement of two different constraints: elimination of distortion in order to address the incompatibility issue, and enforcing a specified in situ fiber strain field while allowing for distortion. The framework was implemented as a plugin in FEBio (www.febio.org), making it easy to maintain the software and to extend the framework if needed. Several examples illustrate the application and effectiveness of the approach, including the application of in situ strains to ligaments in the Open Knee model (simtk.org/home/openknee). A novel method for recovering the stress-free configuration from the prestrain deformation gradient is also presented. This general purpose theoretical and computational framework for applying prestrain will allow analysts to overcome the challenges in modeling this important aspect of biological tissue mechanics.
Copyright © 2016. Published by Elsevier Ltd.

Entities:  

Keywords:  FEBio; Finite element modeling; In situ stress; Inverse analysis; Prestress; Residual stress

Mesh:

Year:  2016        PMID: 27131609     DOI: 10.1016/j.jmbbm.2016.04.012

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  9 in total

Review 1.  FEBio: History and Advances.

Authors:  Steve A Maas; Gerard A Ateshian; Jeffrey A Weiss
Journal:  Annu Rev Biomed Eng       Date:  2017-06-21       Impact factor: 9.590

2.  A Plugin Framework for Extending the Simulation Capabilities of FEBio.

Authors:  Steve A Maas; Steven A LaBelle; Gerard A Ateshian; Jeffrey A Weiss
Journal:  Biophys J       Date:  2018-09-26       Impact factor: 4.033

3.  Open Knee(s): A Free and Open Source Library of Specimen-Specific Models and Related Digital Assets for Finite Element Analysis of the Knee Joint.

Authors:  Snehal Chokhandre; Ariel Schwartz; Ellen Klonowski; Benjamin Landis; Ahmet Erdemir
Journal:  Ann Biomed Eng       Date:  2022-09-14       Impact factor: 4.219

4.  Robust and efficient fixed-point algorithm for the inverse elastostatic problem to identify myocardial passive material parameters and the unloaded reference configuration.

Authors:  Laura Marx; Justyna A Niestrawska; Matthias A F Gsell; Federica Caforio; Gernot Plank; Christoph M Augustin
Journal:  J Comput Phys       Date:  2022-08       Impact factor: 4.645

Review 5.  Medical Image-Based Computational Fluid Dynamics and Fluid-Structure Interaction Analysis in Vascular Diseases.

Authors:  Yong He; Hannah Northrup; Ha Le; Alfred K Cheung; Scott A Berceli; Yan Tin Shiu
Journal:  Front Bioeng Biotechnol       Date:  2022-04-27

6.  A Formulation for Fluid Structure-Interactions in FEBio Using Mixture Theory.

Authors:  Jay J Shim; Steve A Maas; Jeffrey A Weiss; Gerard A Ateshian
Journal:  J Biomech Eng       Date:  2019-03-05       Impact factor: 2.097

7.  Toward Elucidating the Physiological Impacts of Residual Stresses in the Colorectum.

Authors:  Y Zhao; S Siri; B Feng; D M Pierce
Journal:  J Biomech Eng       Date:  2022-01-01       Impact factor: 2.097

8.  A computational model of glioma reveals opposing, stiffness-sensitive effects of leaky vasculature and tumor growth on tissue mechanical stress and porosity.

Authors:  Julian A Rey; James R Ewing; Malisa Sarntinoranont
Journal:  Biomech Model Mechanobiol       Date:  2021-08-07

9.  About prestretch in homogenized constrained mixture models simulating growth and remodeling in patient-specific aortic geometries.

Authors:  Joan D Laubrie; S Jamaleddin Mousavi; Stéphane Avril
Journal:  Biomech Model Mechanobiol       Date:  2022-01-24
  9 in total

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