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Featured researches published by M. Margulis.


Nuclear Technology | 2016

Development and Verification of the Dynamic System Code THERMO-T for Research Reactor Accident Analysis

M. Margulis; Erez Gilad

Abstract The application of best-estimate codes [coupled neutron kinetics (NK)/thermal hydraulics (TH)] for safety analyses of research reactors (RRs) has gained considerable momentum during the past decade. Application of these codes is largely facilitated by the high level of technological maturity and expertise that these codes allow as a safety technology in nuclear power plants, and it is largely driven by International Atomic Energy Agency activities. The present study belongs in this framework and presents the development and application of the coupled NK and TH code THERMO-T to the analysis of protected reactivity insertion accidents and loss-of-flow accidents in a typical RR with standard Materials Testing Reactor plate-type fuel elements. The coupling is realized by considering the neutronic reactivity feedbacks of the fuel and coolant temperatures and a heat generation model for the reactor power. The neutron flux in the reactor core is solved by applying point reactor kinetic equations and employing radial and axial power distributions calculated from a three-dimensional full-core model by the continuous-energy Monte Carlo reactor physics code Serpent. The evolution of temporal and spatial distributions of the fuel, cladding, and coolant temperatures is calculated for all fuel channels by using a finite volume time implicit numerical scheme for solving a three-conservation equation model. In this study, additional features, such as critical heat flux ratio prediction and decay heat model, are implemented for both highly enriched uranium and low-enriched uranium cores, and a comprehensive comparison of THERMO-T results is performed against other codes.


Progress in Nuclear Energy | 2017

The path for innovative severe accident neutronics studies in ZPRs. Part I.1 - Analysis of SNEAK-12A experiments for core disruption in LMFBRs

M. Margulis; P. Blaise; F. Gabrielli; A. Gruel; F. Mellier; Erez Gilad


Progress in Nuclear Energy | 2016

Monte Carlo and nodal neutron physics calculations of the IAEA MTR benchmark using Serpent/DYN3D code system

M. Margulis; Erez Gilad


Archive | 2014

Assessment of shutdown margin requirements for high conversion BWR with Th-U233 fuel

Y. Shaposhnik; M. Margulis; D. Kotlyar; E Shwageraus; E Elias


International Journal of Energy Research | 2018

Modeling representative Gen-IV molten fuel reactivity effects in the ZEPHYR fast/thermal coupled ZPRs. Part I-Assembly level

M. Margulis; P. Blaise; Erez Gilad


Progress in Nuclear Energy | 2017

The path for innovative severe accident neutronics studies in ZPRs. part I.2 - Interpretation of SNEAK-12A experiment for core disruption in LMFBRs impact of nuclear data uncertainties on reactivity coefficients

M. Margulis; P. Blaise; F. Mellier; Erez Gilad


Annals of Nuclear Energy | 2015

Spectral history model in DYN3D: Verification against coupled Monte-Carlo thermal-hydraulic code BGCore

Y. Bilodid; Dan Kotlyar; M. Margulis; E. Fridman; E Shwageraus


Annals of Nuclear Energy | 2019

The path for innovative severe accident neutronics studies in ZPRs – Analysis of SNEAK-12B experiments for core disruption in LMFBRs

M. Margulis; Patrick Blaise; F. Gabrielli; Adrien Gruel; Frédéric Mellier; Erez Gilad


Progress in Nuclear Energy | 2018

Simulations of SPERT-IV D12/15 transient experiments using the system code THERMO-T

M. Margulis; Erez Gilad


Progress in Nuclear Energy | 2017

ZPRsにおける革新的過酷事故中性子工学研究のための経路I2‐反応性係数に及ぼす核データ不確実性のLMFBR衝突におけるコア破壊のSNEAK 12A実験の解釈【Powered by NICT】

M. Margulis; P. Blaise; F. Mellier; Erez Gilad

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Erez Gilad

Ben-Gurion University of the Negev

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F. Gabrielli

Karlsruhe Institute of Technology

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E Shwageraus

University of Cambridge

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D. Kotlyar

Ben-Gurion University of the Negev

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Y. Shaposhnik

Ben-Gurion University of the Negev

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E. Fridman

Helmholtz-Zentrum Dresden-Rossendorf

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Y. Bilodid

Helmholtz-Zentrum Dresden-Rossendorf

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Dan Kotlyar

University of Cambridge

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