Notre histoire

Simonin, Anne

doi:10.3917/deba.052.0180

Cited by 2 publications

(6 citation statements)

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“…Rescaling of the reference velocity as found in some earlier works is not resorted to in the present study. However, fluid properties specified yielded a Reynolds number of 18,831, which is slightly higher than the experimental value of 18,000 stated by Simonin and Barcouda (1988). Since the present flow is sub critical and turbulent, this difference in Reynolds number does not affect the numerical values.…”

Section: Computational Domaincontrasting

confidence: 48%

“…The geometric details of the domain of Simonin and Barcouda (1988) which covers all the seven rows of tubes in the stream-wise direction and one pitch in the transverse direction are depicted in Fig. 1.…”

Section: Computational Domainmentioning

confidence: 99%

“…The ERCOFTAC-IAHR experimental test data of Simonin and Barcouda (1988) formed the database for benchmarking. Apart from the dimensionless quantities like stream-wise velocity, transverse velocity and Reynolds stresses, the pressure coefficient, skin friction factor around the tubes, recirculation lengths behind the tube and flow separation angles are compared with literature.…”

Section: Introductionmentioning

confidence: 99%

“…The European Research Community on Flow Turbulence and Combustion (ERCOFTAC) identified the problem of cross flow over tube bank arrays as classical and invited researchers across the world to build an experimental database. Ever since, the experimental database reported by Simonin and Barcouda (1988) for the flow past a staggered tube bundle using Laser Doppler Anemometry (LDA) has become a standard benchmark. The flow field in the tube bank has features such as flow separation on tube surfaces, upstream tube wake shedding and their subsequent impingement on the downstream tubes and three dimensionality of flow at the tube-end wall junctions.…”

Section: Introductionmentioning

confidence: 99%

“…In view of the complexity of the flow domain, it is necessary to consider the computational domain covering all the seven rows perhaps with a domain periodicity in the transverse direction, as suggested by Simonin and Barcouda (1988). The huge computational requirements for LES and DNS make them less a choice for such large computational domains, when a moderate level of computational requirement is to be maintained.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Performance of 2-D Turbulence Rans Models for Prediction of Flow Past a Staggered Tube Bank Array

Kulasekharan

Prasad

2009

Engineering Applications of Computational Fluid Mechanics

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ABSTRACT:Two dimensional computational analysis of nine RANS turbulence models is carried out and the results are compared with the benchmark test data for the cross flow past tube banks. The ERCOFTAC-IAHR experimental test data of Simonin and Barcouda (1988) formed the database for benchmarking. Apart from the dimensionless quantities like stream-wise velocity, transverse velocity and Reynolds stresses, the pressure coefficient, skin friction factor around the tubes, recirculation lengths behind the tube and flow separation angles are compared with literature. Contrary to the claims made in the published literature, the accuracy of predictions is not satisfactory with the two-dimensional computational analysis, irrespective of the turbulence model employed.

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Section: Computational Domaincontrasting

confidence: 48%

Section: Computational Domainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Performance of 2-D Turbulence Rans Models for Prediction of Flow Past a Staggered Tube Bank Array

Kulasekharan

Prasad

2009

Engineering Applications of Computational Fluid Mechanics

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Moderator Flow Simulation Around Calandria Tubes of Candu-6 Nuclear Reactors

Teyssedou

Necciari

Reggio

et al. 2014

Engineering Applications of Computational Fluid Mechanics

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CFD simulations of cross-flows along in-line and staggered tube bundles which emulate those encountered in the calandria of CANDU-6 reactors are presented. The knowledge of external wall temperature distributions around calandria tubes is a major concern during normal and off-normal operating conditions of CANDU reactors. Calculations are performed using the FLUENT software with several turbulence models using segregated and Coupled algorithms. It is observed that κ-based models are able to reproduce mean velocities in staggered bundles. In most cases, the Coupled algorithm yields convergence even if it requires a longer computational time. Based on this work, the standard κ-ε model is recommended to perform this kind of simulations. Improved κ-ε models do not lead to better results while the κ-ω model predicts very well the physics only around the first row but it is unable to predict the flow around tubes located far downstream in the bundle.

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Notre histoire

Cited by 2 publications

References 0 publications

Performance of 2-D Turbulence Rans Models for Prediction of Flow Past a Staggered Tube Bank Array

Performance of 2-D Turbulence Rans Models for Prediction of Flow Past a Staggered Tube Bank Array

Moderator Flow Simulation Around Calandria Tubes of Candu-6 Nuclear Reactors

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