The development of digital neutron flux monitoring platform for China initiative accelerator driven subcritical system.
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| Title: | The development of digital neutron flux monitoring platform for China initiative accelerator driven subcritical system. |
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| Authors: | Yao, Lei1,2,3,4 (AUTHOR), Jiang, Jun5 (AUTHOR), Yin, Yu-Hao5 (AUTHOR), Li, Jin-Yang1,2,3 (AUTHOR) lijinyang@lzu.edu.cn, Shao, Jian-Xiong1,2,3 (AUTHOR) shaojx@lzu.edu.cn |
| Source: | Progress in Nuclear Energy. Jul2026, Vol. 197, pN.PAG-N.PAG. 1p. |
| Subjects: | Neutron flux, Accelerator-driven systems, Monte Carlo method, Visualization, Tikhonov regularization |
| Geographic Terms: | China |
| Abstract: | The China initiative Accelerator Driven subcritical System (CiADS), scheduled for commissioning in 2029, demands precise neutron flux monitoring to ensure operational safety and stability of its coupled nuclear system, requiring high reliability and minimal fault tolerance. Real-time monitoring of core neutron flux is critical to mitigate risks from dynamic flux variations driven by an external neutron source via spallation reactions, ensuring optimal power control and system integrity. The compact CiADS core structure and lead-bismuth eutectic coolant environment pose significant challenges for in-core detector deployment due to material degradation under irradiation and spatial constraints, necessitating reliance on ex-core neutron detectors strategically positioned within the facility. To address these challenges, a sophisticated digital neutron flux monitoring platform with advanced online visualization has been developed to continuously reconstruct the core flux distribution in the subcritical reactor. A comprehensive response matrix database, constructed using the Monte Carlo method across diverse operating conditions, enhances reconstruction accuracy. Tikhonov regularization stabilizes the response matrix, minimizing computational uncertainties. The platform's online visualization interface delivers real-time, interactive 3D rendering of core power distribution, featuring dynamic heatmaps, customizable displays, and quantitative flux metrics, enabling operators to monitor and analyze flux dynamics intuitively. Predefined training scenarios facilitate operator proficiency in neutron detection processes cost-effectively and safely, ensuring robust monitoring and calibration tailored to CiADS's unique operational requirements driven by the spallation neutron source. [ABSTRACT FROM AUTHOR] |
| Copyright of Progress in Nuclear Energy is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193456362 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The development of digital neutron flux monitoring platform for China initiative accelerator driven subcritical system. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yao%2C+Lei%22">Yao, Lei</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Jun%22">Jiang, Jun</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yin%2C+Yu-Hao%22">Yin, Yu-Hao</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Jin-Yang%22">Li, Jin-Yang</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> lijinyang@lzu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Shao%2C+Jian-Xiong%22">Shao, Jian-Xiong</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> shaojx@lzu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Progress+in+Nuclear+Energy%22">Progress in Nuclear Energy</searchLink>. Jul2026, Vol. 197, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Neutron+flux%22">Neutron flux</searchLink><br /><searchLink fieldCode="DE" term="%22Accelerator-driven+systems%22">Accelerator-driven systems</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Visualization%22">Visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Tikhonov+regularization%22">Tikhonov regularization</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The China initiative Accelerator Driven subcritical System (CiADS), scheduled for commissioning in 2029, demands precise neutron flux monitoring to ensure operational safety and stability of its coupled nuclear system, requiring high reliability and minimal fault tolerance. Real-time monitoring of core neutron flux is critical to mitigate risks from dynamic flux variations driven by an external neutron source via spallation reactions, ensuring optimal power control and system integrity. The compact CiADS core structure and lead-bismuth eutectic coolant environment pose significant challenges for in-core detector deployment due to material degradation under irradiation and spatial constraints, necessitating reliance on ex-core neutron detectors strategically positioned within the facility. To address these challenges, a sophisticated digital neutron flux monitoring platform with advanced online visualization has been developed to continuously reconstruct the core flux distribution in the subcritical reactor. A comprehensive response matrix database, constructed using the Monte Carlo method across diverse operating conditions, enhances reconstruction accuracy. Tikhonov regularization stabilizes the response matrix, minimizing computational uncertainties. The platform's online visualization interface delivers real-time, interactive 3D rendering of core power distribution, featuring dynamic heatmaps, customizable displays, and quantitative flux metrics, enabling operators to monitor and analyze flux dynamics intuitively. Predefined training scenarios facilitate operator proficiency in neutron detection processes cost-effectively and safely, ensuring robust monitoring and calibration tailored to CiADS's unique operational requirements driven by the spallation neutron source. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Progress in Nuclear Energy is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.pnucene.2026.106413 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Neutron flux Type: general – SubjectFull: Accelerator-driven systems Type: general – SubjectFull: Monte Carlo method Type: general – SubjectFull: Visualization Type: general – SubjectFull: Tikhonov regularization Type: general – SubjectFull: China Type: general Titles: – TitleFull: The development of digital neutron flux monitoring platform for China initiative accelerator driven subcritical system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yao, Lei – PersonEntity: Name: NameFull: Jiang, Jun – PersonEntity: Name: NameFull: Yin, Yu-Hao – PersonEntity: Name: NameFull: Li, Jin-Yang – PersonEntity: Name: NameFull: Shao, Jian-Xiong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01491970 Numbering: – Type: volume Value: 197 Titles: – TitleFull: Progress in Nuclear Energy Type: main |
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