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We prove the local well-posedness of the 3D free-boundary incompressible elastodynamics with surface tension describing the motion of an elastic medium in a periodic domain with a moving graphical surface. The deformation tensor is assumed…

偏微分方程分析 · 数学 2025-01-08 Longhui Xu

In this paper, we introduce a novel approach that combines multiresolution (MR) techniques with the flux reconstruction (FR) method to accurately and effciently simulate compressible flows. We achieve further enhancements in effciency…

流体动力学 · 物理学 2023-06-21 Yixuan Lian , Jinsheng Cai , Shucheng Pan

We propose a convex controller synthesis framework for a large class of constrained linear systems, including those described by (deterministic and stochastic) partial differential equations and integral equations, commonly used in fluid…

最优化与控制 · 数学 2025-06-24 Lauren Conger , Antoine P. Leeman , Franca Hoffmann

We propose a predictor-corrector adaptive method for the simulation of hyperbolic partial differential equations (PDEs) on networks under general uncertainty in parameters, initial conditions, or boundary conditions. The approach is based…

数值分析 · 数学 2024-03-26 Jake J. Harmon , Svetlana Tokareva , Anatoly Zlotnik

Viscosity, the resistance of a liquid to flow, is driven by atomic-scale friction but its microscopic origin remains poorly understood. We use a theoretical framework based on nonaffine linear response to decompose the viscosity of metallic…

软凝聚态物质 · 物理学 2026-05-14 Long-Zhou Huang , Bingyu Cui , Min-Qiang Jiang , Matteo Baggioli , Yun-Jiang Wang

It is well known, thanks to Lax-Wendroff theorem, that the local conservation of a numerical scheme for a conservative hyperbolic system is a simple and systematic way to guarantee that, if stable, a scheme will provide a sequence of…

数值分析 · 数学 2023-01-16 Remi Abgrall , P Bacigaluppi , S Tokareva

We introduce an adaptive viscosity regularization approach for the numerical solution of systems of nonlinear conservation laws with shock waves. The approach seeks to solve a sequence of regularized problems consisting of the system of…

流体动力学 · 物理学 2023-09-19 Ngoc Cuong Nguyen , Jordi Vila-Perez , Jaime Peraire

Physics-informed Neural Network (PINN) is a promising tool that has been applied in a variety of physical phenomena described by partial differential equations (PDE). However, it has been observed that PINNs are difficult to train in…

流体动力学 · 物理学 2023-07-19 E. J. R. Coutinho , M. Dall'Aqua , L. McClenny , M. Zhong , U. Braga-Neto , E. Gildin

The paper proposes a physically consistent numerical discretization approach for simulating viscous compressible multicomponent flows. It has two main contributions. First, a contact discontinuity (and material interface) detector is…

流体动力学 · 物理学 2026-04-07 Amareshwara Sainadh Chamarthi

We present a positive and asymptotic preserving numerical scheme for solving linear kinetic, transport equations that relax to a diffusive equation in the limit of infinite scattering. The proposed scheme is developed using a standard…

数值分析 · 数学 2018-07-18 M. Paul Laiu , Martin Frank , Cory D. Hauck

A new slender-body theory for viscous flow, based on the concepts of dimensional reduction and hyperviscous regularization, is presented. The geometry of flat, elongated, or point-like rigid bodies immersed in a viscous fluid is…

流体动力学 · 物理学 2016-03-23 Giulio G. Giusteri , Eliot Fried

This article performs a unified convergence analysis of a variety of numerical methods for a model of the miscible displacement of one incompressible fluid by another through a porous medium. The unified analysis is enabled through the…

数值分析 · 数学 2018-03-07 Jérôme Droniou , Robert Eymard , Alain Prignet , Kyle S. Talbot

We consider the numerical treatment of one of the most popular finite strain models of the viscoelastic Maxwell body. This model is based on the multiplicative decomposition of the deformation gradient, combined with Neo-Hookean…

数值分析 · 数学 2013-11-14 Alexey V. Shutov , Ralf Landgraf , Jörn Ihlemann

A numerical algorithm for solving mantle convection problems with strongly variable viscosity is presented. Equations for conservation of mass and momentum for highly viscous and incompressible fluids are solved iteratively by a multigrid…

地球物理 · 物理学 2009-11-10 Masanori Kameyama , Akira Kageyama , Tetsuya Sato

Over the recent past data-driven algorithms for solving stochastic optimal control problems in face of model uncertainty have become an increasingly active area of research. However, for singular controls and underlying diffusion dynamics…

最优化与控制 · 数学 2024-10-15 Sören Christensen , Asbjørn Holk Thomsen , Lukas Trottner

The advection equation is the basis for mathematical models of continuum mechanics. In the approximate solution of nonstationary problems it is necessary to inherit main properties of the conservatism and monotonicity of the solution. In…

数值分析 · 计算机科学 2018-04-04 Petr N. Vabishchevich

Local linear instability refers to the linearized discrete operator exhibiting perturbation growth exceeding that of the corresponding continuous linearized problem. In the context of nonlinear entropy-stable discretizations, we argue that…

数值分析 · 数学 2026-05-05 Alex Bercik , David W. Zingg

The evolution of thin axisymmetric viscous accretion disks is a classic problem in astrophysics. While models based on this simplified geometry provide only approximations to the true processes of instability-driven mass and angular…

天体物理仪器与方法 · 物理学 2015-02-25 Mark R. Krumholz , John C. Forbes

We consider the gravity-driven flow of a perfect dielectric, viscous, thin liquid film, wetting a flat substrate inclined at a non-zero angle to the horizontal. The dynamics of the thin film is influenced by an electric field which is set…

流体动力学 · 物理学 2019-08-30 Ruben J Tomlin , Radu Cimpeanu , Demetrios T Papageorgiou

The contributions of this technical note are twofold. Firstly, we formulate an optimization problem to obtain a linear representation of a nonlinear vector field based on a system's trajectory. We also prove that its cost function is…

最优化与控制 · 数学 2024-07-12 Karthik Shenoy , Arvind Ragghav , Vijaysekhar Chellaboina