English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, we develop two parameter-robust numerical algorithms for Biotmodel and applied the algorithms in brain edema simulations. By introducing anintermediate variable, we derive a multiphysics reformulation of the Biotmodel. Based on the reformulation, the Biot model is viewed as a generalizedStokes subproblem combining with a reaction-diffusion subproblem. Solving thetwo subproblems together or separately will lead to a coupled or a decoupledalgorithm. We conduct extensive numerical experiments to show that the twoalgorithms are robust with respect to the physics parameters. The algorithmsare applied to study the brain swelling caused by abnormal accumulation ofcerebrospinal fluid in injured areas. The effects of key physics parameters onbrain swelling are carefully investigated. It is observe that the permeabilityhas the greatest effect on intracranial pressure (ICP) and tissue deformation;the Young's modulus and the Poisson ratio will not affect the maximum ICP toomuch but will affect the tissue deformation and the developing speed of brainswelling.

Parameter-robust Multiphysics Algorithms for Biot Model with Application in Brain Edema Simulation