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Dive into the research topics where Manuele Aufiero is active.

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Featured researches published by Manuele Aufiero.


2017 25th International Conference on Nuclear Engineering | 2017

Uncertainty Analysis of the TRU-Burning Thorium-Fueled RBWR Using Generalized Perturbation Theory

Sandra Bogetic; Phillip M. Gorman; Manuele Aufiero; Massimiliano Fratoni; Ehud Greenspan; J. Vujic

Author(s): Bogetic, S; Gorman, P; Aufiero, M; Fratoni, M; Greenspan, E; Vujic, J | Abstract: Copyright


2016 24th International Conference on Nuclear Engineering | 2016

Generalized Sensitivity Analysis With Continuous-Energy Monte Carlo Code RMC

Yishu Qiu; Manuele Aufiero; Kan Wang; Massimiliano Fratoni

Recently, capabilities to compute eigenvalue sensitivity coefficients to nuclear data have been developed by several continuous-energy Monte Carlo codes, e. g., the Reactor Monte Carlo code RMC [1] developed by Tsinghua University, China. These capabilities should be extended to analyze a generalized set of response, such as power distributions and multi-group cross-sections. Therefore, several methods have been put forward to achieve this objective. These methods can be divided into three kinds. The first kind are direct perturbation based methods [2], which are time-consuming since multiple direct perturbation calculations are required to perform. The second kind are methods based on generalized perturbation theory (GPT), including the GEAR-MC method [3] implemented in continuousenergy TSUNAMI-3D and the collision history-based approach implemented in SERPENT [4]. The third kind are specific approaches, such as the differential operator sampling method [5]. However, the differential operator sampling method may be not accurate enough [3] since it ignores the impact of perturbations and cross-section uncertainties on the fission source.


Annals of Nuclear Energy | 2016

XGPT: Extending Monte Carlo Generalized Perturbation Theory capabilities to continuous-energy sensitivity functions

Manuele Aufiero; Michael Martin; Massimiliano Fratoni


Annals of Nuclear Energy | 2016

Development of sensitivity analysis capabilities of generalized responses to nuclear data in Monte Carlo code RMC

Yishu Qiu; Manuele Aufiero; Kan Wang; Massimiliano Fratoni


Physics of Reactors 2016, PHYSOR 2016: Unifying Theory and Experiments in the 21st Century | 2016

ANALYSIS OF THE COOLANT DENSITY REACTIVITY COEFFICIENT IN LFRs AND SFRs VIA MONTE CARLO PERTURBATION/SENSITIVITY

Manuele Aufiero; Michael Martin; Massimiliano Fratoni; E. Fridman; S. Lorenzi


Annals of Nuclear Energy | 2016

Coupled reactors analysis: New needs and advances using Monte Carlo methodology

Manuele Aufiero; G. Palmiotti; M. Salvatores; S. Sen


Annals of Nuclear Energy | 2017

A perturbation-based susbtep method for coupled depletion Monte-Carlo codes

Dan Kotlyar; Manuele Aufiero; E Shwageraus; Massimiliano Fratoni


International Congress on Advances in Nuclear Power Plants (ICAPP 2016) | 2016

Continuous energy function sensitivity calculation using GPT in Monte Carlo neutron transport: application to resonance parameters sensitivity study

Manuele Aufiero; A. Bidaud; Massimiliano Fratoni


Nuclear Engineering and Technology | 2017

A new approach to the stabilization and convergence acceleration in coupled Monte Carlo–CFD calculations: The Newton method via Monte Carlo perturbation theory

Manuele Aufiero; Massimiliano Fratoni


2016 International Congress on Advances in Nuclear Power Plants, ICAPP 2016 | 2016

A sensitivity study of a coupled kinetics and thermal-hydraulics model for fluoride-salt-cooled, high-Temperature reactor (FHR) transient analysis

Xin Wang; Kathryn D. Huff; Manuele Aufiero; Per F. Peterson; Massimiliano Fratoni

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Xin Wang

University of California

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Michael Martin

Norwegian University of Science and Technology

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Dan Kotlyar

University of Cambridge

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E Shwageraus

University of Cambridge

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Ehud Greenspan

University of California

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