4.2 Article

Toward the use of LES for industrial complex geometries. Part I: automatic mesh definition

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Interdisciplinary Applications

Reconstruction of proper numerical inlet boundary conditions for draft tube flow simulations using machine learning

Pedro Veras et al.

Summary: This paper proposes an innovative strategy using machine learning to reconstruct incomplete or unknown inlet boundary conditions for numerical flow simulations of a hydraulic turbine draft tube. The strategy significantly improves the accuracy and realism of the simulations, particularly in terms of velocity profiles and pressure evolution. The results are validated against experimental measurements and can be applied to both Reynolds-Averaged Navier Stokes (RANS) and Large-Eddy Simulations (LES) turbulence modeling methods.

COMPUTERS & FLUIDS (2023)

Article Computer Science, Interdisciplinary Applications

Periodic adjoints and anisotropic mesh adaptation in rotating frame for high-fidelity RANS turbomachinery applications

F. Alauzet et al.

Summary: The paper demonstrates the viability and efficiency of metric-based unstructured anisotropic mesh adaptation techniques for turbomachinery applications. It addresses the difficulty of periodic domains in turbomachinery and showcases how mesh adaptation can generate highly accurate numerical solutions. The study utilizes feature-based error estimate and goal-oriented error estimate to control the error in turbomachinery output functionals. The periodic mesh adaptation strategy is validated using specific test cases.

JOURNAL OF COMPUTATIONAL PHYSICS (2022)

Article Computer Science, Interdisciplinary Applications

A massively parallel accurate conservative level set algorithm for simulating turbulent atomization on adaptive unstructured grids

Romain Janodet et al.

Summary: This article presents a parallel and robust strategy for simulating turbulent incompressible two-phase flows on unstructured grids in complex geometries. The combination of a narrow-band accurate conservative level set/ghost-fluid framework with isotropic adaptive mesh refinement allows for accurate capture of interface dynamics and topology. The method has been validated through various tests and examples, demonstrating its spatial convergence, robustness, and efficiency. It also showcases the computational advantages of adaptive mesh refinement for simulating complex turbulent flows with large density ratios.

JOURNAL OF COMPUTATIONAL PHYSICS (2022)

Review Mechanics

The third golden age of aeroacoustics

Stephane Moreau

Summary: This review covers the latest developments in computational aeroacoustics, focusing on noise generated by fluid flows and its propagation. It highlights the use of high-order schemes and the lattice Boltzmann method as effective methods to tackle noise problems in complex geometries. The review presents examples of applying these methods to jet noise and installed airfoil noise, as well as discussing simulations of airframe noise and turbomachinery noise.

PHYSICS OF FLUIDS (2022)

Article Computer Science, Interdisciplinary Applications

A finite-volume method for simulating contact lines on unstructured meshes in a conservative level-set framework

Savinien Pertant et al.

Summary: This paper presents a robust and accurate method for numerically simulating moving contact lines on complex boundaries with surface wettability effects. The method is validated on 2D and 3D test cases, demonstrating good mass conservation properties and the ability to handle realistic scenarios such as drop detachment from horizontal fibers using dynamic mesh adaptation.

JOURNAL OF COMPUTATIONAL PHYSICS (2021)

Article Mechanics

Static mesh adaptation for reliable large eddy simulation of turbulent reacting flows

P. W. Agostinelli et al.

Summary: The study proposes a static mesh refinement strategy based on flow physical quantities, detecting areas of interest for flow physics and recommending grid adaptation to enhance the accuracy of large eddy simulations. The strategy is detailed on two reacting-flow problems and shown to significantly improve predictions of flame stabilization.

PHYSICS OF FLUIDS (2021)

Article Computer Science, Interdisciplinary Applications

Hybrid particle-grid methods for the study of differential diffusion in turbulent flows

Simon Santoso et al.

Summary: This paper focuses on the development and application of hybrid methods for advection-diffusion of scalars, combining semi-Lagrangian methods with either finite volume or spectral methods for Navier-Stokes equations based on flow geometry. The methods are applied to study differential diffusion in Homogeneous Isotropic Turbulence and a jet flow, analyzing mechanisms through spectral distribution and Reynolds decomposition.

COMPUTERS & FLUIDS (2021)

Article Computer Science, Interdisciplinary Applications

Feature-based and goal-oriented anisotropic mesh adaptation for RANS applications in aeronautics and aerospace

F. Alauzet et al.

Summary: This paper demonstrates the viability of unstructured anisotropic mesh adaptation for commercial aircraft drag and high-lift prediction studies, showcasing its effectiveness in running high-fidelity CFD and simplifying the meshing process. The automation of mesh adaptation allows for the generation of highly accurate numerical solutions, supporting the design of complex geometries.

JOURNAL OF COMPUTATIONAL PHYSICS (2021)

Article Computer Science, Interdisciplinary Applications

A framework to perform high-order deconvolution for finite-volume method on simplicial meshes

Manuel Bernard et al.

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS (2020)

Article Thermodynamics

Large-Eddy Simulation of the lean-premixed PRECCINSTA burner with wall heat loss

P. Benard et al.

PROCEEDINGS OF THE COMBUSTION INSTITUTE (2019)

Article Engineering, Mechanical

Numerical simulation of turbulent flow over a backward facing step using partially averaged Navier-Stokes method

Dahai Luo

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2019)

Article Computer Science, Interdisciplinary Applications

Large-Eddy Simulation of wind turbines wakes including geometrical effects

P. Benard et al.

COMPUTERS & FLUIDS (2018)

Article Thermodynamics

A Mesh Adaptation Strategy to Predict Pressure Losses in LES of Swirled Flows

Guillaume Daviller et al.

FLOW TURBULENCE AND COMBUSTION (2017)

Article Computer Science, Interdisciplinary Applications

Mesh adaptation for large-eddy simulations in complex geometries

Pierre Benard et al.

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS (2016)

Article Thermodynamics

Analysis of Head Losses in a Turbine Draft Tube by Means of 3D Unsteady Simulations

Sylvia Wilhelm et al.

FLOW TURBULENCE AND COMBUSTION (2016)

Article Computer Science, Interdisciplinary Applications

Image-based large-eddy simulation in a realistic left heart

C. Chnafa et al.

COMPUTERS & FLUIDS (2014)

Article Computer Science, Interdisciplinary Applications

Three-dimensional adaptive domain remeshing, implicit domain meshing, and applications to free and moving boundary problems

C. Dapogny et al.

JOURNAL OF COMPUTATIONAL PHYSICS (2014)

Article Computer Science, Interdisciplinary Applications

Optimization of the deflated Conjugate Gradient algorithm for the solving of elliptic equations on massively parallel machines

Mathias Malandain et al.

JOURNAL OF COMPUTATIONAL PHYSICS (2013)

Article Engineering, Aerospace

Computation of GOAHEAD configuration with Chimera assembly

T. Renaud et al.

AEROSPACE SCIENCE AND TECHNOLOGY (2012)

Article Mechanics

Design of a massively parallel CFD code for complex geometries

Vincent Moureau et al.

COMPTES RENDUS MECANIQUE (2011)

Article Mechanics

Vortical structures and heat transfer in a round impinging jet

M. Hadziabdic et al.

JOURNAL OF FLUID MECHANICS (2008)

Article Engineering, Mechanical

Index of resolution quality for large eddy simulations

IB Celik et al.

JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME (2005)

Article Mechanics

Vortex control of bifurcating jets:: A numerical study

CB da Silva et al.

PHYSICS OF FLUIDS (2002)