Navier–Stokes solvers in European aircraft design

Vos, Jan B.; Rizzi, Arthur; Darracq, Denis; Hirschel, Ernst Heinrich

doi:10.1016/s0376-0421(02)00050-7

Cited by 141 publications

(61 citation statements)

References 143 publications

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“…Our viewpoint is contrary to the views expressed by Rizzi and Vos [15] and Vos et al [16]. However, one must recognize that the database these researchers have envisioned and the databases that have been constructed in Europe are developed with a weaker form of benchmark than the benchmarks we are proposing in this paper.…”

Section: Comparing Candidate Code Results With Verification Benchmarksmentioning

confidence: 64%

“…This network has more than 40 participants from several countries who represent research establishments and many sectors of the industry, including commercial CFD software companies. For a history and review of the various efforts, see Rizzi and Vos [15] and Vos et al [16].…”

Section: Introductionmentioning

confidence: 99%

“…We note that the validation databases described by Rizzi and Vos [15] and Vos et al [16] contain many cases that are for very complex flows, which are sometimes referred to as "industrial applications." We have observed, however, both through our own experience and in the open literature, that attempts to validate models on complex physical processes are commonly unsuccessful because the computational results do not compare well with the experimental measurements.…”

Section: Introductionmentioning

confidence: 99%

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Verification and validation benchmarks

Oberkampf

Trucano²

2008

Nuclear Engineering and Design

181

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Verification and validation (V&V) are the primary means to assess the accuracy and reliability of computational simulations. V&V methods and procedures have fundamentally improved the credibility of simulations in several high-consequence fields, such as nuclear reactor safety, underground nuclear waste storage, and nuclear weapon safety. Although the terminology is not uniform across engineering disciplines, code verification deals with assessing the reliability of the software coding, and solution verification deals with assessing the numerical accuracy of the solution to a computational model. Validation addresses the physics modeling accuracy of a computational simulation by comparing the computational results with experimental data. Code verification benchmarks and validation benchmarks have been constructed for a number of years in every field of computational simulation. However, no comprehensive guidelines have been proposed for the construction and use of V&V benchmarks. For example, the field of nuclear reactor safety has not focused on code verification benchmarks, but it has placed great emphasis on developing validation benchmarks. Many of these validation benchmarks are closely related to the operations of actual reactors at near-safety-critical conditions, as opposed to being more fundamental-physics benchmarks. This paper presents recommendations for the effective design and use of code verification benchmarks based on manufactured solutions, classical analytical solutions, and highly accurate numerical solutions. In addition, this paper presents recommendations for the design and use of validation benchmarks, highlighting the careful design of building-block experiments, the estimation of experimental measurement uncertainty for both inputs and outputs to the code, validation metrics, and the role of model calibration in validation. It is argued that the understanding of predictive capability of a computational model is built on the level of achievement in V&V activities, how closely related the V&V benchmarks are to the actual application of interest, and the quantification of uncertainties related to the application of interest.

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Section: Comparing Candidate Code Results With Verification Benchmarksmentioning

confidence: 64%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Verification and validation benchmarks

Oberkampf

Trucano²

2008

Nuclear Engineering and Design

181

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“…(1) through (5) are solved by the parallel Navier-Stokes, Multi-Block (NSMB) solver [29] based on a cell-centered finite volume discretisation. The moving geometry has been obtained by implementing the chimera method within the NSMB code.…”

Section: Chimera Methodsmentioning

confidence: 99%

Fluid-structure interaction modeling with chimera grids in NSMB

et al. 2014

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Abstract. The paper presents the last few years of research at ICUBE, Team MECAFLU in the "Instabilité, Turbulence, Diphasique" group on the simulations of fluid-structure interactions applied to falling bodies using the NSMB solver. The first part of the study was devoted to the numerical study of a sphere falling in a vertical tube filled with a Poiseuille flow. Then the NSMB software has been extended to be able to take into account multiple moving bodies and the cases of two 2D cylinders falling in free air have been investigated. To prevent the collision of the two cylinders which is not consistent with the chimera method, an elastic shock has been implemented.Résumé. Ce papier présente les résultats de ces dernières années de recherche à ICUBE, dans l'équipe MECAFLU au sein du groupe "Instabilité, Turbulence, diphasique" sur les simulations des interactions fluide-structure appliquées à la chute des corps en utilisant le solveur NSMB. La première partie de l'étude a été consacrée à l'étude numérique d'une sphère en chute libre dans un tube vertical. Puis le solver NSMB a été étendu pour être en mesure de prendre en compte plusieurs corps en mouvement et les cas de deux cylindres 2D chute libre ont été étudiés. Pour éviter la collision des deux cylindres qui n'est pas possible avec la méthode chimère, un choc élastique a été mis en oeuvre.

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“…Today, computational fluid dynamics has matured to a point where it is widely accepted as an essential, complementary analysis tool to wind tunnel experiments and flight tests. Navier-Stokes methods have developed from specialized research techniques to practical engineering tools being used for a vast number of industrial problems on a routine basis [51]. Nevertheless, there is still a great need for improvement of numerical methods, because standards for simulation accuracy and efficiency are constantly rising in industrial applications.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modelling of Flow through Pleated Cartridge Filters

Nassehi

Waghode

Hanspal

et al. 2006

Progress in Industrial Mathematics at ECMI 2004

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Summary. Some years ago the national CFD project MEGAFLOW was initiated in Germany, which combined many of the CFD development activities from DLR, universities and aircraft industry. Its goal was the development and validation of a dependable and efficient numerical tool for the aerodynamic simulation of complete aircraft which met the requirements of industrial implementations. The MEGAFLOW software system includes the block-structured Navier-Stokes code FLOWer and the unstructured Navier-Stokes code TAU. Both codes have reached a high level of maturity and they are intensively used by DLR and the German aerospace industry in the design process of new aircraft. Recently, the follow-on project MEGADESIGN was set up which focuses on the development and enhancement of efficient numerical methods for shape design and optimization. This paper highlights recent improvements and enhancements of the software. Its capability to predict viscous flows around complex industrial applications for transport aircraft design is demonstrated. First results concerning shape optimization are presented.

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Navier–Stokes solvers in European aircraft design

Cited by 141 publications

References 143 publications

Verification and validation benchmarks

Verification and validation benchmarks

Fluid-structure interaction modeling with chimera grids in NSMB

Mathematical Modelling of Flow through Pleated Cartridge Filters

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