1,721,047 research outputs found

    Development and Application of Data Assimilation Methods in Reactor Physics

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    Simulations of nuclear reactor physics can disagree significantly from experimental evidence, even when the most accurate models are used. An important part of this bias from experiment is caused by nuclear data. The nuclear data have inherent uncertainties due to the way they are evaluated, which then propagate to nuclear reactor simulations. This creates a bias and an uncertainty in a predicted reactor parameter like \keff~or the composition of spent fuel. This thesis focuses on data assimilation techniques to ameliorate the effects of nuclear data. Data assimilation takes integral experiments and assimilates them in a Bayesian way to improve simulations. It can also be used to find trends and areas needing improvement in evaluated nuclear data. The research focuses on advancing the data assimilation theory and knowledge used in reactor physics, especially on techniques that require stochastic sampling of the nuclear data. Furthermore, the research takes advantage of rich experimental data available from the Proteus research reactor at the Paul Scherrer Institute. The thesis showed, for the first time, that two methods based on stochastic sampling (called MOCABA and BMC) gave equivalent results to each other and to the traditional method called GLLS. This was corroborated with two independent studies that used different experiments, neutron transport codes, nuclear data, and processing codes. The first study used the JEZEBEL-Pu239 benchmark, the Serpent2 neutron transport code, and NUSS. The second study used reactivity experiments from the LWR-Phase II experiments at Proteus, CASMO-5 for neutron transport, and SHARK-X. While using Serpent2, several questions pertaining to the stochastic uncertainty of its sensitivity coefficients arose. To address these, a new method called eXtended GLLS, or xGLLS, was proposed and tested in the thesis. xGLLS showed that the uncertainties associated with sensitivity coefficients have a negligible effect on the data assimilation as long as the calculated integral parameters themselves were converged. The final study focused on adjusting the fission yields and covariances made by the GEF code with post-irradiation examination experiments from Proteus. The adjustment improved the accuracy of predicted nuclide concentrations in spent fuel and improved the agreement between the GEF fission yields and those of ENDF/B-VIII.0 and JEFF3.3.LR

    Multi-physics modeling of VVERs with high fidelity high-resolution codes

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    The calculations performed for the design and operation of a Nuclear Power Plant (NPP) are a key factor for their safety analyses. The standard for the computational analysis of NPPs is the so called conventional approach, which relies on coarse mesh diffusion for the neutronic solver and 1D channels for the T/H solver. The recent evolution of computing clusters allows the use of a novel approach, with codes performing first-principle based multi-physics simulations with high-resolution of the calculated parameters. Due to their computational cost, these methods can only be used as an audit tool of the conventional approach. In recent years, the nuclear industry has moved towards the establishment of Best Estimate Plus Uncertainty safety limits. The novel approach is a step forward to that direction. At the same time, VVER technology is expanding, with new reactors being built worldwide. However, there is currently no high-resolution tool available for VVER steady state and cycle analysis. There is a clear need for more refined simulation tools capable of handling hexagonal geometries. The goal of this PhD is the development of a novel computational scheme based on the 3D sub-pin neutron transport code nTRACER-FAST (nTF), coupled to the sub-channel code COBRA-TF (CTF) for VVER full core steady state and cycle analysis. The coupling of a neutronic code with sub-pin resolution to a sub-channel T/H solver, as well as the use of CTF for full core VVER sub-channel analysis are one of the main novelties of this work, to the extent of the writer's knowledge. In this thesis, nTF is verified & validated for VVER 3D core standalone neutronic calculations against data published in international benchmarks. The internal sub-pin coupling of nTF to CTF for hexagonal geometries is fully developed on the course of this study. A double domain decomposition scheme that allows both codes to be executed in parallel is designed. The multi-physics core solver is verified for steady state simulations. nTF/CTF is also compared with nTF using a simplified 1D T/H solver, proving that to achieve accurate predictions, computational tools of different fidelity should not be mixed. Finally, nTF/CTF is developed for 3D full core cycle analysis. The coupled code system is validated with experimental data, achieving the target accuracy set for industrial use. The capability of the solver for sub-pin predictions throughout the depletion cycle is demonstrated. A conventional computational route for VVER analysis, built with CASMO5-VVER as a lattice code for the nodal neutronic solver PARCS, is also established. The use of PARCS with CASMO5-VVER is another novelty of the present work. CASMO5-VVER/PARCS is verified and validated for VVER standalone neutronic and multi-physics steady state simulations and cycle analysis. The modeling options that optimize the use of the code system and the generation of CASMO5-VVER cross-sections for PARCS are described. The comparison of the novel and conventional computational routes demonstrates the accuracy enhancement enabled by the high-resolution core solver, during steady state and depletion calculations. The work performed during this thesis also showed that the nTF/CTF computational requirements are manageable for VVER cycle analysis, when a state-of-the-art computing cluster is used. This illustrates that such high fidelity, high-resolution computational scheme can be used as an audit tool for the conventional route.LR

    Performance assessment of a 3-D steady-state and spatial kinetics model for the CROCUS reactor

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    This dissertation covers both experimental and numerical neutronics studies to evaluate the adequacy of the Serpent/PARCS code sequence for modeling the steady-state and kinetics behavior of the CROCUS reactor. The reactor presents design characteristics that raise questions about the acceptability of diffusion theory for its modeling. The PARCS model of CROCUS has been developed considering several potential sources of biases. More precisely, albedo boundary conditions were used to limit the axial geometry to the grid plates where diffusion theory may lead to inaccuracies due to the presence of Cadmium layers. Proper treatment of scattering anisotropies through in-scatter correction of diffusion coefficients were also fundamental for producing accurate eigenvalues in the CROCUS reactor. A parametric study has been conducted to evaluate transport effects and the impact of energy discretization on eigenvalue and pin power distribution. Steady-state and time-dependent experimental data has been obtained from CROCUS with the purpose of validating the computational scheme. A comprehensive evaluation of experimental uncertainties provided support for the generation of reliable experimental data. Particular focus was placed upon the development of transient experiments that involve local perturbations of the flux. Delayed neutron effects were not captured in these transients because of the tightly coupled nature of the reactor. The comparison of PARCS simulations against experimental data indicated that control rod reactivity worth is predicted within (43)%. PARCS radial fission rate distributions are in considerable disagreement with experimental data for the outer core region, where differences are as large as 15%. This was attributed to the fact that PARCS does not allow using adaptable mesh sizes in the radial plane, which results in a mismatch between the mesh and explicit pins of the outer core region. However, from a safety viewpoint, these biases are conservative and are located in the outer core region where the power is low. PARCS axial fission rate profiles agree within 1% with experimental data for the bottom and mid regions for the core. On the other hand, larger deviations of about 20% were encountered for the top region, which are attributed to transport effects near the water/air interface. Finally, the investigation on neutron kinetic effects verified that the PARCS code is capable of modeling the transient experiments with spatial effects in the CROCUS reactor, where maximum differences are in the order of 5%. Overall, the Serpent/PARCS scheme shows satisfactory performance for modeling the CROCUS reactor, except for the estimation of radial reaction rate profiles, where biases were attributed to the impossibility of adapting the mesh size to match the fuel pitch of both fuel zones.LR

    Validation of Intrapin Reaction Rate Distributions from Deterministic Transport Codes

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    Efforts are underway worldwide to develop advanced simulation methods of nuclear power plants, with an improved resolution in space, angle and energy. These tools aim to enhance operational efficiency through the predictions of local phenomena critical for optimizing the plant power output without degrading safety. Verification and validation procedures are essential to demonstrate the accuracy of the high-resolution information produced by these novel simulation methods; yet access to experimental data remains limited, especially regarding localized quantities such as the neutron spatial distribution within a fuel rod. The NECTAR experiments, conducted on the CROCUS zero-power reactor operated at EPFL, aim to bridge this gap by providing precise intra-pin reaction rate experimental data. The CROCUS reactor serves as an ideal testbed for validating high-fidelity simulation codes due to its relative ease of access and available space; as well as challenging core geometry. Therefore, an instrumented fuel rod for intra-pin reaction rate measurements has been designed, licensed, built and installed in CROCUS. The rod can accommodate dosimeters which can be divided post-irradiation into either 6 radial or 8 azimuthal sections, allowing to precisely measure the reaction rate spatial variations within the dosimeter. Relative radial and azimuthal intra-pin 197Au(n,g) reaction rate distributions, were measured in 3 positions within the CROCUS core lattice. Each measured reaction rate is provided with a maximum experimental uncertainty of 0.17%, which is one order of magnitude lower than existing datasets available publicly. Repeatability within the quoted experimental uncertainty was achieved for both radial and azimuthal profiles. With respect to the modeling aspects of this work, we began by developing a low-fidelity model of CROCUS using the GeN-Foam SP3 solver and an unstructured mesh description. This model's predictions were compared to existing reaction rate measurements in the core moderator, reducing discrepancies in the outer core lattice compared to an existing structured model using the nodal code PARCS. To obtain pin-resolved predictions, we developed 2 high-fidelity models: one using GeN-Foam with the discrete ordinates method and the other using MPACT with the Method Of Characteristics. Both models were verified against Serpent Monte Carlo predictions in terms of keff values, pin power maps, and inter- and intra-pin thermal neutron flux profiles. Despite discrepancies in pin power predictions for both models in the range of ±6%, attributed respectively to the definition of the cross-section homogenization regions and library issues, predictions for thermal neutron flux in the fuel were within 1% of Serpent's. Finally, predictions of the high-fidelity models were compared to the NECTAR's reaction rate measurements. GeN-Foam showed minor yet statistically significant discrepancies in terms of intra-pin radial distributions with a maximum difference of 0.8%. With respect to the azimuthal reaction rate distributions, GeN-Foam produced results with a 2% deviation from the measurements. In contrast, MPACT simulations led to large inaccuracies due to the absence of gold self-shielding data within its library. Observed deviations in the prediction of azimuthal distribution primarily originate from global effects at the reactor core scale rather than shortcomings in the deterministic solvers' ability to account for intra-pin variations.LR

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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