Recent advances in protective coatings for accident tolerant Zr-based fuel claddings

E Kashkarov, B Afornu, D Sidelev, M Krinitcyn… - Coatings, 2021 - mdpi.com
Zirconium-based alloys have served the nuclear industry for several decades due to their
acceptable properties for nuclear cores of light water reactors (LWRs). However, severe …

Review of Fukushima Daiichi Nuclear Power Station debris endstate location in OECD/NEA preparatory study on analysis of fuel debris (PreADES) project

A Nakayoshi, JL Rempe, M Barrachin… - … Engineering and Design, 2020 - Elsevier
Much is still not known about the end-state of core materials in each of the units at
Fukushima Daiichi Nuclear Power Station (Daiichi) that were operating on March 11, 2011 …

Overview and outcomes of the OECD/NEA benchmark study of the accident at the Fukushima Daiichi NPS (BSAF), phase 2–Results of severe accident analyses for …

M Sonnenkalb, M Pellegrini, LE Herranz, T Lind… - … Engineering and Design, 2020 - Elsevier
This is the second paper in a series of 3 in which results of severe accident analyses for Unit
2 of Fukushima Daiichi are presented, gained in phase 2 of the OECD/NEA project …

[HTML][HTML] Overview and outcomes of the OECD/NEA benchmark study of the accident at the Fukushima Daiichi NPS (BSAF), Phase 2–Results of severe accident …

T Lind, M Pellegrini, LE Herranz, M Sonnenkalb… - … Engineering and Design, 2021 - Elsevier
This is the third part of the three part paper describing the accidents at the Fukushima
Daiichi nuclear power station as analyzed in the Phase 2 of the OECD/NEA project …

[HTML][HTML] A simulation and machine learning informed diagnosis of the severe accidents

JH Song, KS Ha - Nuclear Engineering and Design, 2022 - Elsevier
We propose a simulation and machine learning informed model (SMLIM) for the diagnosis of
severe accidents. A machine learning model which consisted of one hidden Long Short …

[HTML][HTML] MAAP code analysis focusing on the fuel debris condition in the lower head of the pressure vessel in Fukushima-Daiichi Nuclear Power Station Unit 2

I Sato, S Yoshikawa, T Yamashita, M Cibula… - … Engineering and Design, 2023 - Elsevier
Based on the updated knowledge from plant-internal investigations, experiments and
computer-model simulations until now, the in-vessel phase of Fukushima-Daiichi Nuclear …

Inversion of Critical Atmospheric 137Cs Emissions Following the Fukushima Accident by Resolving Temporal Formation from Total Deposition Data

X Dong, S Fang, S Zhuang, Y Xu - Environmental Science & …, 2024 - ACS Publications
Understanding the transport of 137Cs emitted during the Fukushima accident is challenging
because the critical emissions that produced the high-deposition area are not adequately …

[HTML][HTML] Estimation of the core degradation and relocation at the Fukushima Daiichi Nuclear Power Station Unit 2 based on RELAP/SCDAPSIM analysis

H Madokoro, I Sato - Nuclear Engineering and Design, 2021 - Elsevier
Estimation of the final debris distribution at the Fukushima Daiichi Nuclear Power Station
(1F) is inevitable for a safe and effective decommissioning. It is necessary to clarify possible …

Revolatilization of iodine by bubbly flow in the suppression pool during an accident

K Nanjo, J Ishikawa, T Sugiyama… - Journal of Nuclear …, 2022 - Taylor & Francis
To appropriately evaluate the amount of radioactive iodine released into the environment,
we extended the current pool scrubbing model to consider revolatilization at bubble surfaces …

Integral simulation of the first 3 weeks of severe accident at Fukushima Daiichi Unit 1 with SOCRAT code. Part I–Qualification of model and simulation of the initial …

KS Dolganov - Nuclear Engineering and Design, 2024 - Elsevier
This paper is the first part of the summary overview which presents the results of IBRAE's
work over the last 11 years to study the severe accident at Unit 1 of Fukushima Daiichi …