Proper Generalized Decomposition using Taylor expansion for non-linear diffusion equations

Deeb, Ahmad; Kalaoun, Omar; Belarbi, Rafik

doi:10.1016/j.matcom.2023.01.008

Cited by 1 publication

(1 citation statement)

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“…The step size will be based on an error estimate of the temporal approximation, set up to a predefined accuracy requirement. Higher order numerical approximations can be obtained using integrators based on divergent series resummation [50], which have been applied to large time dynamics problems [51], stiff problems [52], and diffusion equations within the framework of proper generalized decomposition [53].…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamics simulation of red blood cells: Employing a penalty method with double jump composition of lower order time integrator

Laadhari,

Deeb,

Kaoui

2023

Math Methods in App Sciences

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We propose a numerical framework tailored for simulating the dynamics of vesicles with inextensible membranes, which mimic red blood cells, immersed in a non‐Newtonian fluid environment. A penalty method is proposed to handle the inextensibility constraint by relaxation, allowing a simple computer implementation and an affordable computational load compared to the full mixed formulation. To handle the high‐order derivatives in the stress jump across the membrane, which arise due to the high geometric order of the Helfrich functional, we employ higher degree finite elements for spatial discretization. The time integration scheme relies on the double composition of the Crank–Nicolson scheme to achieve faster fourth‐order convergence behavior. Additionally, an adaptive time‐stepping strategy based on a third‐order temporal integration error estimation is implemented. We address the main features of the proposed method, which is benchmarked against existing numerical and experimental results. Furthermore, we investigate the influence of non‐Newtonian rheology on the system dynamics.

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