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Related papers: On the augmented Biot-JKD equations with Pole-Resi…

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This article focuses on the mathematical problem of reconstructing dynamic permeability $K(\omega)$ of two-phase composites from data at different frequencies, utilizing the analytic structure of the Stieltjes function representation of…

Complex Variables · Mathematics 2015-06-17 Miao-Jung Yvonne Ou

A time-domain numerical modeling of Biot poroelastic waves is presented. The viscous dissipation occurring in the pores is described using the dynamic permeability model developed by Johnson-Koplik-Dashen (JKD). Some of the coefficients in…

Computational Physics · Physics 2015-06-05 Emilie Blanc , Guillaume Chiavassa , Bruno Lombard

An explicit finite-difference scheme is presented for solving the two-dimensional Biot equations of poroelasticity across the full range of frequencies. The key difficulty is to discretize the Johnson-Koplik-Dashen (JKD) model which…

Classical Physics · Physics 2013-12-11 Emilie Blanc , Guillaume Chiavassa , Bruno Lombard

A time-domain numerical modeling of transversely isotropic Biot poroelastic waves is proposed in two dimensions. The viscous dissipation occurring in the pores is described using the dynamic permeability model developed by…

Computational Physics · Physics 2015-06-24 Emilie Blanc , Guillaume Chiavassa , Bruno Lombard

In this paper, we investigate wave propagation in orthotropic poroelastic media by studying the time-domain poroelastic equations. Both the low frequency Biot's (LF-Biot) equations and the Biot-Johnson-Koplik-Dashen (Biot-JKD) models are…

Computational Physics · Physics 2019-10-02 Jiangming Xie , Miao-jung Yvonne Ou , Liwei Xu

In this paper, we propose a numerical method for computing solutions to Biot's fully dynamic model of incompressible saturated porous media [Biot;1956]. Our spatial discretization scheme is based on the three-field formulation (u-w-p) and…

Numerical Analysis · Mathematics 2015-06-24 Zahrasadat Lotfian , Mettupalayam Sivaselvan

We extend the It\^o-Wentzell formula for the evolution along a continuous semimartingale of a time-dependent stochastic field driven by a continuous semimartingale to tensor field-valued stochastic processes on manifolds. More concretely,…

Probability · Mathematics 2023-11-09 Aythami Bethencourt de León , So Takao

Solving the time-dependent Schr\"odinger equation (TDSE) is pivotal for modeling non-adiabatic electron dynamics, a key process in ultrafast spectroscopy and laser-matter interactions. However, exact solutions to the TDSE remain…

Chemical Physics · Physics 2025-12-29 Bizi Huang , Weizhong Fu , Ji Chen

One of the challenges in using numerical methods to address many-body problems is the multi-dimensional integration over poles. More often that not, one needs such integrations to be evaluated as a function of an external variable. An…

Computational Physics · Physics 2025-04-10 Igor Benek-Lins , Jonathan Discenza , Saurabh Maiti

We present a numerical study aimed at comparing two approaches to the evaluation of relative permeability curves from 3D binary images of porous media. One approach hinges on the numerical solution of Stokes equations, while the other is…

Fluid Dynamics · Physics 2013-11-19 Andrea Cortis , Dmitriy Silin

It is shown how any Lindbladian evolution with selfadjoint Lindblad operators, either Markovian or nonMarkovian, can be understood as an averaged random unitary evolution. Both mathematical and physical consequences are analyzed. First a…

Quantum Physics · Physics 2007-05-23 D. Salgado , J. L. Sanchez-Gomez

We show that Neural Ordinary Differential Equations (ODEs) learn representations that preserve the topology of the input space and prove that this implies the existence of functions Neural ODEs cannot represent. To address these…

Machine Learning · Statistics 2019-10-29 Emilien Dupont , Arnaud Doucet , Yee Whye Teh

We consider the fully dynamic Biot-Allard model, which includes memory effects. Convolution integrals in time model the history of the porous medium. We use a series representation of the dynamic permeability in the frequency domain to…

Analysis of PDEs · Mathematics 2024-06-04 Jakob S. Stokke , Markus Bause , Nils Margenberg , Florin A. Radu

In this paper, we present a novel numerical scheme for simulating deformable and extensible capsules suspended in a Stokesian fluid. The main feature of our scheme is a partition-of-unity (POU) based representation of the surface that…

Numerical Analysis · Mathematics 2024-04-09 Dhwanit Agarwal , George Biros

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-02 Sebastian Wolf , Martin Galis , Carsten Uphoff , Alice-Agnes Gabriel , Peter Moczo , David Gregor , Michael Bader

The Stieltjes coefficients $\gamma_k(a)$ arise in the expansion of the Hurwitz zeta function $\zeta(s,a)$ about its single simple pole at $s=1$ and are of fundamental and long-standing importance in analytic number theory and other…

Mathematical Physics · Physics 2008-12-09 Mark W. Coffey

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,…

Numerical Analysis · Mathematics 2024-07-24 Jakob S. Stokke , Morten Jakobsen , Kundan Kumar , Florin A. Radu

The second-order dependence structure of purely nondeterministic stationary process is described by the coefficients of the famous Wold representation. These coefficients can be obtained by factorizing the spectral density of the process.…

Statistics Theory · Mathematics 2017-12-21 Jonas Krampe , Jens-Peter Kreiss , Efstathios Paparoditis

In this paper, we establish an exponential ergodicity for stochastic evolution equations with reflection in an infinite dimensional ball. As an application, we obtain the exponential ergodicity of stochastic Navier-Stokes equations with…

Probability · Mathematics 2025-11-19 Zdzislaw Brzezniak , Qi Li , Tusheng Zhang

Marcus stochastic delay differential equations (SDDEs) are often used to model stochastic dynamical systems with memory in science and engineering. Since no infinitesimal generators exist for Marcus SDDEs due to the non-Markovian property,…

Dynamical Systems · Mathematics 2021-02-23 Fang Yang , Xu Sun
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