Fractional modeling of viscoelasticity in 3D cerebral arteries and aneurysms

Y Yu, P Perdikaris, GE Karniadakis - Journal of computational physics, 2016 - Elsevier
We develop efficient numerical methods for fractional order PDEs, and employ them to
investigate viscoelastic constitutive laws for arterial wall mechanics. Recent simulations …

Convergence analysis and numerical studies for linearly elastic peridynamics with dirichlet-type boundary conditions

M Foss, P Radu, Y Yu - Journal of Peridynamics and Nonlocal Modeling, 2023 - Springer
The nonlocal models of peridynamics have successfully predicted fractures and
deformations for a variety of materials. In contrast to local mechanics, peridynamic boundary …

Multiscale modeling and simulation of brain blood flow

P Perdikaris, L Grinberg, GE Karniadakis - Physics of Fluids, 2016 - pubs.aip.org
The aim of this work is to present an overview of recent advances in multi-scale modeling of
brain blood flow. In particular, we present some approaches that enable the in silico study of …

A partitioned coupling framework for peridynamics and classical theory: analysis and simulations

Y Yu, FF Bargos, H You, ML Parks… - Computer Methods in …, 2018 - Elsevier
We develop and analyze a concurrent framework for coupling peridynamics and the
corresponding classical elasticity theory, with applications to the numerical simulations of …

Generalized fictitious methods for fluid–structure interactions: analysis and simulations

Y Yu, H Baek, GE Karniadakis - Journal of Computational Physics, 2013 - Elsevier
We present a new fictitious pressure method for fluid–structure interaction (FSI) problems in
incompressible flow by generalizing the fictitious mass and damping methods we published …

[HTML][HTML] Dynamical behavior of reaction–diffusion neural networks and their synchronization arising in modeling epileptic seizure: a numerical simulation study

MM Moayeri, JA Rad, K Parand - Computers & Mathematics with …, 2020 - Elsevier
Excessive synchronizations of neurons in the brain networks can be a reason for some
episodic disorders such as epilepsy. In this paper, we simulate neural dynamic models and …

[HTML][HTML] Matrix-free higher-order finite element methods for hyperelasticity

R Schussnig, N Fehn, P Munch… - Computer Methods in …, 2025 - Elsevier
This work presents a matrix-free finite element solver for finite-strain elasticity adopting an h
p-multigrid preconditioner. Compared to classical algorithms relying on a global sparse …

High‐order finite elements compared to low‐order mixed element formulations

T Netz, A Düster, S Hartmann - ZAMM‐Journal of Applied …, 2013 - Wiley Online Library
High‐order finite elements are commonly compared with linear element formulations
showing that, in terms of the relation between computational time and achievable accuracy …

An energy‐stable mixed formulation for isogeometric analysis of incompressible hyperelastodynamics

J Liu, AL Marsden, Z Tao - International Journal for Numerical …, 2019 - Wiley Online Library
We develop a mixed formulation for incompressible hyperelastodynamics based on a
continuum modeling framework recently developed in the work of Liu and Marsden and …

A phase-field/ALE method for simulating fluid–structure interactions in two-phase flow

X Zheng, GE Karniadakis - Computer Methods in Applied Mechanics and …, 2016 - Elsevier
We present a phase-field/ALE method for simulating fluid–structure interactions (FSI) in two-
phase flow. We solve the Navier–Stokes equation coupled with the Cahn–Hilliard equation …