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The context of this work is the development of first order total variation diminishing (TVD) implicit-explicit (IMEX) Runge-Kutta (RK) schemes as a basis of a Multidimensional Optimal Order detection (MOOD) approach to approximate the…

数值分析 · 数学 2025-01-08 Victor Michel-Dansac , Andrea Thomann

In this paper, we intend to address the high-order gas-kinetic scheme (HGKS) in the direct numerical simulation (DNS) of compressible isotropic turbulence up to the supersonic regime. With the consideration of robustness and accuracy, the…

流体动力学 · 物理学 2019-05-13 Guiyu Cao , Liang Pan , Kun Xu

Transient stability simulation of a large-scale and interconnected electric power system involves solving a large set of differential algebraic equations (DAEs) at every simulation time-step. With the ever-growing size and complexity of…

分布式、并行与集群计算 · 计算机科学 2018-10-08 Jian Shi , Brian Sullivan , Mike Mazzola , Babak Saravi , Uttam Adhikari , Tomaz Haupt

In this paper we present a new technique for efficiently implementing Large Eddy Simulation with the Discontin- uous Galerkin method on unstructured meshes. In particular, we will focus upon the approach to overcome the computational…

流体动力学 · 物理学 2016-10-24 Angus Creech , Adrian Jackson , James Maddison , James Percival , Tom Bruce

This paper presents a rank-adaptive implicit-explicit integrator for the tensor approximation of three-dimensional convection-diffusion equations. In particular, the recently developed Reduced Augmentation Implicit Low-rank (RAIL)…

数值分析 · 数学 2025-08-25 Joseph Nakao , Gianluca Ceruti , Lukas Einkemmer

This paper introduces a novel approach to compute the numerical fluxes at the cell boundaries in the finite volume approach. Explicit gradients used in deriving the reconstruction polynomials are replaced by high-order gradients computed by…

Simulation of complex dynamical systems arising in many applications is computationally challenging due to their size and complexity. Model order reduction, machine learning, and other types of surrogate modeling techniques offer cheaper…

数值分析 · 数学 2026-02-11 Steven Roberts , Andrey A Popov , Arash Sarshar , Adrian Sandu

When evolving in time the solution of a hyperbolic partial differential equation, it is often desirable to use high order strong stability preserving (SSP) time discretizations. These time discretizations preserve the monotonicity…

数值分析 · 数学 2017-08-02 Sidafa Conde , Sigal Gottlieb , Zachary J. Grant , John N. Shadid

High-order DG methods have become a popular technique in computational fluid dynamics because their accuracy increases spectrally in smooth solutions with the order of the approximation. However, their main drawback is that increasing the…

A semi-implicit-explicit (semi-IMEX) Runge-Kutta (RK) method is proposed for the numerical integration of ordinary differential equations (ODEs) of the form $\mathbf{u}' = \mathbf{f}(t,\mathbf{u}) + G(t,\mathbf{u}) \mathbf{u}$, where…

数值分析 · 数学 2025-04-15 Lingyun Ding

We present first results of an implicit large eddy simulation of the MTU T161 low pressure turbine at a Reynolds number of 90,000 and Mach number of 0.6, both based on isentropic exit conditions, using a high order discontinuous Galerkin…

流体动力学 · 物理学 2022-12-19 Christian Morsbach , Michael Bergmann , Adem Tosun , Edmund Kügeler , Matthias Franke

Recently, the nature of viscoelastic drag-reducing turbulence (DRT), especially maximum drag reduction (MDR) state, has become a focus of controversy. It has long been regarded as polymers-modulated inertial turbulence (IT), but is…

流体动力学 · 物理学 2021-08-11 Zhang Wen-Hua , Zhang Hong-Na , Li Yu-Ke , Li Feng-Chen

The incompressible Euler equations are an important model system in computational fluid dynamics. Fast high-order methods for the solution of this time-dependent system of partial differential equations are of particular interest: due to…

数值分析 · 数学 2024-10-15 Eike Hermann Müller

We investigate the ability of discontinuous Galerkin (DG) methods to simulate under-resolved turbulent flows in large-eddy simulation. The role of the Riemann solver and the subgrid-scale model in the prediction of a variety of flow…

流体动力学 · 物理学 2018-10-24 Pablo Fernandez , Ngoc-Cuong Nguyen , Jaime Peraire

Several competing artificial compressibility methods for the incompressible flow equations are examined using the high-order flux reconstruction method. The established artificial compressibility method (ACM) of \citet{Chorin1967} is…

流体动力学 · 物理学 2022-09-22 Will Trojak , Nagabhushana Rao Vadlamani , James Tyacke , Freddie Witherden , Antony Jameson

Numerical schemes used for the integration of complex flow simulations should provide accurate solutions for the long time integrations these flows require. To this end, the performance of various high-order accurate numerical schemes is…

流体动力学 · 物理学 2012-12-06 Omer San , Anne E. Staples

We investigate turbulence generated by cosmological structure formation by means of large eddy simulations using adaptive mesh refinement. In contrast to the widely used implicit large eddy simulations, which resolve a limited range of…

宇宙学与河外天体物理 · 物理学 2015-06-17 W. Schmidt , A. S. Almgren , H. Braun , J. F. Engels , J. C. Niemeyer , J. Schulz , R. R. Mekuria , A. J. Aspden , J. B. Bell

Jump penalty stabilisation techniques have been recently proposed for continuous and discontinuous high order Galerkin schemes [1,2,3]. The stabilisation relies on the gradient or solution discontinuity at element interfaces to incorporate…

流体动力学 · 物理学 2022-08-25 Jiaqing Kou , Oscar A. Marino , Esteban Ferrer

We study the construction and convergence of semi-explicit and iterative decoupling schemes for an elliptic-parabolic problem using higher-order Runge-Kutta methods. For the semi-explicit schemes, which are constructed using a nearby delay…

数值分析 · 数学 2026-05-22 Robert Altmann , Abdullah Mujahid , Benjamin Unger

We develop error-control based time integration algorithms for compressible fluid dynamics (CFD) applications and show that they are efficient and robust in both the accuracy-limited and stability-limited regime. Focusing on discontinuous…

数值分析 · 数学 2021-11-23 Hendrik Ranocha , Lisandro Dalcin , Matteo Parsani , David I. Ketcheson