English

Darcy law for yield stress fluid

Soft Condensed Matter 2019-06-26 v1 Disordered Systems and Neural Networks

Abstract

Predicting the flow of non-Newtonian fluids in porous structure is still a challenging issue due to the interplay betwen the microscopic disorder and the non-linear rheology. In this letter, we study the case of an yield stress fluid in a two-dimensional structure. Thanks to a performant optimization algorithm, we show that the system undergoes a continuous phase transition in the behavior of the flow controlled by the applied pressure drop. In analogy with the studies of the plastic depinning of vortex lattices in high-TcT_c superconductors we characterize the nonlinearity of the flow curve and relate it to the change in the geometry of the open channels. In particular, close to the transition, an universal scale free distribution of the channel length is observed and explained theoretically via a mapping to the KPZ equation.

Keywords

Cite

@article{arxiv.1811.09494,
  title  = {Darcy law for yield stress fluid},
  author = {Chen Liu and Andrea De Luca and Alberto Rosso and Laurent Talon},
  journal= {arXiv preprint arXiv:1811.09494},
  year   = {2019}
}

Comments

5 pages, 4 figures + 1 Supplementary material

R2 v1 2026-06-23T05:25:29.744Z