English

Pulsatile Driving Stabilizes Loops in Elastic Flow Networks

Adaptation and Self-Organizing Systems 2022-10-20 v2 Biological Physics

Abstract

Existing models of adaptation in biological flow networks consider their constituent vessels (e.g. veins and arteries) to be rigid, thus predicting a non physiological response when the drive (e.g. the heart) is dynamic. Here we show that incorporating pulsatile driving and properties such as fluid inertia and vessel compliance into a general adaptation framework fundamentally changes the expected structure at steady state of a minimal one-loop network. In particular, pulsatility is observed to give rise to resonances which can stabilize loops for a much broader class of metabolic cost functions than predicted by existing theories. Our work points to the need for a more realistic treatment of adaptation in biological flow networks, especially those driven by a pulsatile source, and provides insights into pathologies that emerge when such pulsatility is disrupted in human beings.

Keywords

Cite

@article{arxiv.2210.06557,
  title  = {Pulsatile Driving Stabilizes Loops in Elastic Flow Networks},
  author = {Purba Chatterjee and Sean Fancher and Eleni Katifori},
  journal= {arXiv preprint arXiv:2210.06557},
  year   = {2022}
}
R2 v1 2026-06-28T03:29:19.361Z