Evidence map›Paper›PMID 37516792›Full record

ArticleScientific reports2023

Monitoring and simulation of the fuel irradiation behavior in nuclear reactors based on phononic crystal structure.

Fatma A Sayed, Hussein A Elsayed, M F Eissa, Arafa H Aly, Ahmed Mehaney

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Fatma A SayedTH-PPM Group, Physics Department, Faculty of Sciences, Beni-Suef University, Beni Suef, 62514, Egypt.
Hussein A ElsayedTH-PPM Group, Physics Department, Faculty of Sciences, Beni-Suef University, Beni Suef, 62514, Egypt.
M F EissaTH-PPM Group, Physics Department, Faculty of Sciences, Beni-Suef University, Beni Suef, 62514, Egypt.
Arafa H AlyTH-PPM Group, Physics Department, Faculty of Sciences, Beni-Suef University, Beni Suef, 62514, Egypt. arafa.hussien@science.bsu.edu.eg.ORCID http://orcid.org/0000-0003-0795-378X
Ahmed MehaneyTH-PPM Group, Physics Department, Faculty of Sciences, Beni-Suef University, Beni Suef, 62514, Egypt.
Beni-Suef University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have presented in the current work a novel idea for simulating the irradiation behaviors of the nuclear fuel pellets in nuclear reactors by using a one-dimensional defective phononic crystal (1D-DPnC) design was presented. The transmission spectra of the incident mechanical waves were considered basic data for expressing the characteristics of different nuclear fuel-pellets. Herein, the density, sound speed, and Young's modulus of the fuel-pellets represent the key parameters that are influenced by the irradiation behaviors of these pallets. Mixed plutonium-uranium oxide (MOX) nuclear fuel is considered the main fuel in the present study. In addition, a comparison is performed for this fuel with other types of nuclear fuels. Moreover, the mechanical properties of these MOX-pellets are dependent on the porosity, the ratio of oxygen-to-metal (O/M), and the plutonium (Pu-content). The theoretical treatments depend on the transfers matrix method to compute the transmission spectra through the 1D-DPnC. The numerical findings provided that the MOX-pellet has the highest performance compared to other fuel pellets and with sensitivity equal to 59.388 × 10

Identifiers

PMID37516792
PMCPMC10387093
OpenAlexW4385379652

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.