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Despite its numerical challenges, finite element method is used to compute viscous fluid flow. A consensus on the cause of numerical problems has been reached; however, general algorithms---allowing a robust and accurate simulation for any…

计算工程、金融与科学 · 计算机科学 2019-02-05 Bilen Emek Abali

Fluid flows are omnipresent in nature and engineering disciplines. The reliable computation of fluids has been a long-lasting challenge due to nonlinear interactions over multiple spatio-temporal scales. The compressible Navier-Stokes…

流体动力学 · 物理学 2021-12-10 Deniz A. Bezgin , Aaron B. Buhendwa , Nikolaus A. Adams

We develop a novel Hybrid High-Order method for the simulation of Darcy flows in fractured porous media. The discretization hinges on a mixed formulation in the bulk region and on a primal formulation inside the fracture. Salient features…

数值分析 · 数学 2017-12-01 Florent Chave , Daniele Di Pietro , Luca Formaggia

This paper presents a novel stabilized mixed material point method (MPM) designed for the unified modeling of free-surface and seepage flow. The unified formulation integrates the Navier-Stokes equation with the Darcy-Brinkman-Forchheimer…

数值分析 · 数学 2024-09-30 Bodhinanda Chandra , Ryota Hashimoto , Ken Kamrin , Kenichi Soga

The solution for non-linear, complex partial differential Equations (PDEs) is achieved through numerical approximations, which yield a linear system of equations. This approach is prevalent in Computational Fluid Dynamics (CFD), but it…

流体动力学 · 物理学 2024-09-06 Ferdin Sagai Don Bosco , Dhamotharan S , Rut Lineswala , Abhishek Chopra

High-order methods and hybrid turbulence models have independently shown promise as means of decreasing the computational cost of scale-resolving simulations. The objective of this work is to develop the combination of these methods and…

流体动力学 · 物理学 2022-01-26 Tarik Dzanic , Sharath Girimaji , Freddie Witherden

We develop a high-fidelity numerical solver for the compressible Navier-Stokes equations, with the main aim of highlighting the predictive capabilities of low-diffusive numerics for flows in complex geometries. The space discretization of…

流体动力学 · 物理学 2016-12-16 Davide Modesti , Sergio Pirozzoli

This paper introduces a novel theoretical framework and a suite of highly efficient, parallelizable algorithms for solving the large-scale multicommodity flow (MCF) feasibility problem. We reframe the classical constraint-satisfaction…

最优化与控制 · 数学 2025-08-26 Pengfei Liu

We consider two-level finite element discretization methods for the stream function formulation of the Navier-Stokes equations. The two-level method consists of solving a small nonlinear system on the coarse mesh, then solving a linear…

数值分析 · 数学 2025-10-20 Faisal Fairag

We present a robust and accurate discretization approach for incompressible turbulent flows based on high-order discontinuous Galerkin methods. The DG discretization of the incompressible Navier-Stokes equations uses the local…

流体动力学 · 物理学 2018-08-01 Niklas Fehn , Wolfgang A Wall , Martin Kronbichler

This thesis deals with the investigation of a H(div)-conforming hybrid discontinuous Galerkin discretization for incompressible turbulent flows. The discretization method provides many physical and solving-oriented properties, which may be…

计算工程、金融与科学 · 计算机科学 2020-09-25 Xaver Mooslechner

The Volume-Averaged Navier-Stokes equations are used to study fluid flow in the presence of fixed or moving solids such as packed or fluidized beds. We develop a high-order finite element solver using both forms A and B of these equations.…

数值分析 · 数学 2023-02-20 Toni El Geitani , Shahab Golshan , Bruno Blais

This paper addresses the problem of obtaining low-order models of fluid flows for the purpose of designing robust feedback controllers. This is challenging since whilst many flows are governed by a set of nonlinear, partial…

流体动力学 · 物理学 2017-10-13 Bryn Ll. Jones , Peter H. Heins , Eric C. Kerrigan , Jonathan F. Morrison , Ati S. Sharma

The evolution of any complex dynamical system is described by its state derivative operators. However, the extraction of the exact N-order state derivative operators is often inaccurate and requires approximations. The open-source CFD code…

流体动力学 · 物理学 2022-10-26 Arthur Poulain , Cedric Content , Denis Sipp , Georgios Rigas , Eric Garnier

Granular dynamics driven by fluid flow is ubiquitous in many industrial and natural processes, such as fluvial and coastal sediment transport. Yet, their complex multiphysics nature challenges the accuracy and efficiency of numerical…

流体动力学 · 物理学 2026-01-08 Mojtaba Jandaghian , Ahmad Shakibaeinia

Meshless solution to differential equations using radial basis functions (RBF) is an alternative to grid based methods commonly used. Since the meshless method does not need an underlying connectivity in the form of control volumes or…

数值分析 · 数学 2021-09-15 Shantanu Shahane , Anand Radhakrishnan , Surya Pratap Vanka

We present the components of a high-order accurate Navier-Stokes solver designed to simulate high-Reynolds-number stratified flows. The proposed numerical model addresses some of the numerical and computational challenges that…

流体动力学 · 物理学 2025-10-01 Nidia Reyes-Gil , Greg Thomsen , Kristopher Rowe , Peter Diamessis

In order to prevent velocity, pressure, and temperature spikes at material discontinuities occurring when the interface-capturing schemes inconsistently simulate compressible multi-material flows(when the specific heats ratio is…

计算物理 · 物理学 2020-12-29 Zhiwei He , Yousheng Zhang , Li Li , Baolin Tian

A method for enhancing the stability and robustness of explicit schemes in computational fluid dynamics is presented. The method is based in reformulating explicit schemes in matrix form, which cane modified gradually into semi or…

数学物理 · 物理学 2009-11-10 A. A. Hujeirat

BOUT++ is a software package designed for solving plasma fluid models. It has been used to simulate a wide range of plasma phenomena ranging from linear stability analysis to 3D plasma turbulence, and is capable of simulating a wide range…

等离子体物理 · 物理学 2016-06-29 Ben Dudson , Jens Madsen , John Omotani , Peter Hill , Luke Easy , Michael Løiten