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Analysis of institutional authors

Berna, CAuthorEscrivá, AAuthor

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October 30, 2024
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CFD simulation plus uncertainty quantification of the mixing of two fluid with different density for the Cold-Leg mixing benchmark

Publicated to: NUCLEAR ENGINEERING AND DESIGN. 383 1-13 - 2021-01-01 383(), DOI: 10.1016/j.nucengdes.2021.111449

Authors:

Rivera-Durán, Yago; Muñoz-Cobo, J. L. ; Berna, C. ; Escrivá, A. ; Vela, E.
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Affiliations

Consejo Seguridad Nucl, Subdirecc Ingn, C Pedro Justo dorado Dellmans 11 - Author
Univ Politecn Valencia, Inst Energy Engn, Camino Vera S-N - Author

Abstract

This document describes the details of the simulations and uncertainty quantification of the Cold-Leg Mixing benchmark performed at the Institute for Energy Engineering (Polytechnic University of Valencia, Spain). The experiment, carried out by Texas A&M University, consists of the mixing of two water flows with different densities inside two tanks joined by a pipeline or cold leg. The tank that accumulates the low-density water and its connection to the cold leg are designed to create a downcomer like the one found in a PWR reactor vessel. On the other hand, the high-density water reservoir represents the cold-water injection accumulator. The method of Polynomial Chaos Expansion (PCE) based on Gaussian Quadrature is applied to calculate the uncertainty of the results, and a model created in Ansys CFX is developed to carry out the simulations. A 5th order Polynomial Chaos Expansion by Gaussian-Hermite Quadrature has been applied using as uncertain parameter the density difference between the mixing fluids. Therefore, five simulations have been done for both the open and the blind test. This methodology aims to provide an efficient solution since PCE solved by Gaussian Quadrature allows to obtain uncertainty quantification through a low number of simulations when the amount of uncertain input variables is low. It has been observed that the turbulence model significantly affects the results obtained, being the LES model the only one able to reproduce the real behavior consistently. Simulation results show a good agreement with experimental data for the cold-leg measurement zone while, in the downcomer a slightly different velocity profile than the one measured experimentally is obtained. The concentration profile of each fluid shows a gap in the transition zone that does not seem to agree with the velocity results. That behavior remains for higher time averages when comparing simulation results with experimental measurements.
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Keywords

BenchmarkChaos expansionsCold legCold-leg mixingComputational fluid dynamicsDifferent densitiesDown-comerGaussian distributionGaussian quadraturesLarge-eddy simulationsMixingPolynomial chaosPolynomial chaos expansionPolynomialsPressurized water reactorsReservoirs (water)Tanks (containers)Turbulence modelsUncertainty analysisUncertainty quantificationUncertainty quantifications

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal NUCLEAR ENGINEERING AND DESIGN due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Mechanical Engineering.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-06:

  • WoS: 5
  • Scopus: 6
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-06:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 14.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 14 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: http://hdl.handle.net/10251/180799
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Rivera, Y) .

the author responsible for correspondence tasks has been Rivera, Y.

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Awards linked to the item

This work was supported by the project THAIS co-financed by the CSN (Nuclear Safety Council of Spain) and the UPV (Polytechnical University of Valencia) . The authors would also like to acknowledge the Texas A&M University for the experimental measurements, the OECD/NEA for organizing the benchmark and all the participants who make it possible.
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