中文
相关论文

相关论文: Adaptive asynchronous time-stepping, stopping crit…

200 篇论文

In this work, we present a new stabilization method aimed at removing spurious oscillations in the pressure approximation of Biot's model for poroelasticity with low permeabilities and/or small time steps. We consider different…

We develop a family of mixed finite element methods for a model of nonlinear poroelasticity where, thanks to a rewriting of the constitutive equations, the permeability depends on the total poroelastic stress and on the fluid pressure and…

We present a convergence analysis of the parallel-in-time integration method known as the Parareal algorithm for degenerate differential-algebraic systems arising from quasi-static Biot models, which govern coupled flow and deformation in…

数值分析 · 数学 2026-01-22 Iñigo Jimenez-Ciga , Francisco Gaspar , Kundan Kumar , Florin A. Radu

We study the fully mixed formulation of the Biot equations, which is characterized by a symmetric coupling between flow and deformation. This structure enables the use of stable mixed finite elements for each subproblem without a strong…

数值分析 · 数学 2026-03-20 Fleurianne Bertrand , Jakub Wiktor Both , Tugay Dağlı

We study the a priori error analysis of finite element methods for Biot's consolidation model. We consider a formulation which has the stress tensor, the fluid flux, the solid displacement, and the pore pressure as unknowns. Two mixed…

数值分析 · 数学 2016-06-23 Jeonghun J. Lee

We consider the dynamics of a parabolic and a hyperbolic equation coupled on a common interface and develop time-stepping schemes that can use different time-step sizes for each of the subproblems. The problem is formulated in a strongly…

数值分析 · 数学 2020-07-13 Martyna Soszynska , Thomas Richter

Atomistic/continuum coupling methods aim to achieve optimal balance between accuracy and efficiency. Adaptivity is the key for the efficient implementation of such methods. In this paper, we carry out a rigorous a posteriori analysis of the…

数值分析 · 数学 2018-06-14 Hao Wang , Mingjie Liao , Ping Lin , Lei Zhang

We propose an experimental study of adaptive time-stepping methods for efficient modeling of the aggregation-fragmentation kinetics. Precise modeling of this phenomena usually requires utilization of the large systems of nonlinear ordinary…

数值分析 · 数学 2025-01-20 Sergey A. Matveev , Viktor Zhilin , Alexander P. Smirnov

We propose and analyze a reliable and efficient a posteriori error estimator for the pointwise tracking optimal control problem of the Stokes equations. This linear-quadratic optimal control problem entails the minimization of a cost…

数值分析 · 数学 2018-10-08 Alejandro Allendes , Francisco Fuica , Enrique Otárola , Daniel Quero

In this paper we continue our work on adaptive timestep control for weakly non- stationary problems. The core of the method is a space-time splitting of adjoint error representations for target functionals due to S\"uli and Hartmann. The…

数值分析 · 数学 2014-06-19 Christina Steiner , Siegfried Müller , Sebastian Noelle

We arrive at convergence criterion for the fixed stress split iterative scheme for single phase flow coupled with small strain anisotropic poroelastoplasticity. The analysis is based on studying the equations satisfied by the difference of…

数值分析 · 数学 2021-07-29 Saumik Dana , Mary F Wheeler

Many applications from geosciences require simulations of seismic waves in porous media. Biot's theory of poroelasticity describes the coupling between solid and fluid phases and introduces a stiff source term, thereby increasing…

分布式、并行与集群计算 · 计算机科学 2022-03-02 Sebastian Wolf , Martin Galis , Carsten Uphoff , Alice-Agnes Gabriel , Peter Moczo , David Gregor , Michael Bader

The purpose of this work is the design and analysis of a reliable and efficient a posteriori error estimator for the so-called pointwise tracking optimal control problem. This linear-quadratic optimal control problem entails the…

数值分析 · 数学 2016-08-30 Alejandro Allendes , Enrique Otarola , Richard Rankin , Abner J. Salgado

Port-Hamiltonian systems provide an energy-based modeling paradigm for dynamical input-state-output systems. At their core, they fulfill an energy balance relating stored, dissipated and supplied energy. To accurately resolve this energy…

数值分析 · 数学 2024-12-17 Andreas Bartel , Manuel Schaller

This paper is concerned with a space-time adaptive numerical method for instationary porous media flows with nonlinear interaction between porosity and pressure, with focus on problems with discontinuous initial porosities. A convergent…

数值分析 · 数学 2025-08-27 Markus Bachmayr , Simon Boisserée

We propose a new paradigm for designing efficient p-adaptive arbitrary high order methods. We consider arbitrary high order iterative schemes that gain one order of accuracy at each iteration and we modify them in order to match the…

数值分析 · 数学 2023-11-09 Lorenzo Micalizzi , Davide Torlo , Walter Boscheri

Biot's equations of poroelasticity contain a parabolic system for the evolution of the pressure, which is coupled with a quasi-stationary equation for the stress tensor. Thus, it is natural to extend the existing work on isogeometric…

数值分析 · 数学 2021-02-17 Jeremias Arf , Bernd Simeon

We present a mixed finite element method for a five-field formulation of the Biot system of poroelasticity that reduces to a cell-centered pressure-displacement system on simplicial and quadrilateral grids. A mixed…

数值分析 · 数学 2020-10-28 Ilona Ambartsumyan , Eldar Khattatov , Ivan Yotov

In this work, we consider a fully dynamic Biot model that includes memory effects due to evolving permeability. Time integrals are used to account for the change in structure. We propose an iterative splitting scheme for this model,…

数值分析 · 数学 2024-07-24 Jakob S. Stokke , Morten Jakobsen , Kundan Kumar , Florin A. Radu

In this work, semi-discrete and fully-discrete error estimates are derived for the Biot's consolidation model described using a three-field finite element formulation. The fields include displacements, total stress and pressure. The model…

数值分析 · 数学 2020-08-05 Wenya Qi , Padmanabhan Seshaiyer , Junping Wang