Literature DB >> 26337187

A Mathematical Model and MATLAB Code for Muscle-Fluid-Structure Simulations.

Nicholas A Battista1, Austin J Baird2, Laura A Miller3.   

Abstract

This article provides models and code for numerically simulating muscle-fluid-structure interactions (FSIs). This work was presented as part of the symposium on Leading Students and Faculty to Quantitative Biology through Active Learning at the society-wide meeting of the Society for Integrative and Comparative Biology in 2015. Muscle mechanics and simple mathematical models to describe the forces generated by muscular contractions are introduced in most biomechanics and physiology courses. Often, however, the models are derived for simplifying cases such as isometric or isotonic contractions. In this article, we present a simple model of the force generated through active contraction of muscles. The muscles' forces are then used to drive the motion of flexible structures immersed in a viscous fluid. An example of an elastic band immersed in a fluid is first presented to illustrate a fully-coupled FSI in the absence of any external driving forces. In the second example, we present a valveless tube with model muscles that drive the contraction of the tube. We provide a brief overview of the numerical method used to generate these results. We also include as Supplementary Material a MATLAB code to generate these results. The code was written for flexibility so as to be easily modified to many other biological applications for educational purposes.
© The Author 2015. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

Entities:  

Mesh:

Year:  2015        PMID: 26337187      PMCID: PMC6296398          DOI: 10.1093/icb/icv102

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  5 in total

1.  IB2d: a Python and MATLAB implementation of the immersed boundary method.

Authors:  Nicholas A Battista; W Christopher Strickland; Laura A Miller
Journal:  Bioinspir Biomim       Date:  2017-03-29       Impact factor: 2.956

2.  A semi-automated finite difference mesh creation method for use with immersed boundary software IB2d and IBAMR.

Authors:  D Michael Senter; Dylan R Douglas; W Christopher Strickland; Steven G Thomas; Anne M Talkington; Laura A Miller; Nicholas A Battista
Journal:  Bioinspir Biomim       Date:  2020-11-27       Impact factor: 2.956

3.  Capturing functional relations in fluid-structure interaction via machine learning.

Authors:  Tejas Soni; Ashwani Sharma; Rajdeep Dutta; Annwesha Dutta; Senthilnath Jayavelu; Saikat Sarkar
Journal:  R Soc Open Sci       Date:  2022-04-06       Impact factor: 2.963

4.  From single neurons to behavior in the jellyfish Aurelia aurita.

Authors:  Fabian Pallasdies; Sven Goedeke; Wilhelm Braun; Raoul-Martin Memmesheimer
Journal:  Elife       Date:  2019-12-23       Impact factor: 8.140

5.  Biofilm viscoelasticity and nutrient source location control biofilm growth rate, migration rate, and morphology in shear flow.

Authors:  Hoa Nguyen; Abraham Ybarra; Hakan Başağaoğlu; Orrin Shindell
Journal:  Sci Rep       Date:  2021-08-09       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.