An integrated framework for the prediction of axial offset anomaly in pressurized water reactors

During the operation of pressurized water reactors, erosion products can be deposited on the surfaces of the fuel rods, and these deposits lead to enrichment of boric acid, which influences the power distribution along the axial direction and results in axial offset anomaly (AOA)/Chalk River unidentified deposit (CRUD)-induced power shift (CIPS). In this paper, a fully integrated CIPS risk prediction framework is proposed. The framework comprises three coupled modules: CRUD deposition prediction, boron concentration calculation, and neutron flux calculation. These modules are dynamically coupled through CRUD deposition distribution and boric acid concentration data, ensuring comprehensive and up-to-date predictions. To demonstrate the framework’s capabilities, we provide a case study involving a 500-day reactor operation. Our results indicate a maximum CRUD thickness approaching 40 μm, primarily located in the upper half of the fuel rod. This deposition corresponds to a maximum boric acid concentration ratio exceeding 300, which significantly reduces heat flux in the affected region and precipitates a severe AOA/CIPS incident.

Authors

Institutions

Publication Details

Journal
International Journal of Fluid Engineering
Published
2025-06-17
DOI
https://doi.org/10.1063/5.0274866
Primary Topic
Nuclear reactor physics and engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An integrated framework for the prediction of axial offset anomaly in pressurized water reactors

Jianhua Qin, Jinhe Wang, Dingyi Pan, Zhiqiang Zhang et al.
International Journal of Fluid Engineering
Nuclear reactor physics and engineering
article

An integrated framework for the prediction of axial offset anomaly in pressurized water reactors

Jianhua Qin, Jinhe Wang, Dingyi Pan, Zhiqiang Zhang, Lei Song
article en

Abstract

During the operation of pressurized water reactors, erosion products can be deposited on the surfaces of the fuel rods, and these deposits lead to enrichment of boric acid, which influences the power distribution along the axial direction and results in axial offset anomaly (AOA)/Chalk River unidentified deposit (CRUD)-induced power shift (CIPS). In this paper, a fully integrated CIPS risk prediction framework is proposed. The framework comprises three coupled modules: CRUD deposition prediction, boron concentration calculation, and neutron flux calculation. These modules are dynamically coupled through CRUD deposition distribution and boric acid concentration data, ensuring comprehensive and up-to-date predictions. To demonstrate the framework’s capabilities, we provide a case study involving a 500-day reactor operation. Our results indicate a maximum CRUD thickness approaching 40 μm, primarily located in the upper half of the fuel rod. This deposition corresponds to a maximum boric acid concentration ratio exceeding 300, which significantly reduces heat flux in the affected region and precipitates a severe AOA/CIPS incident.

International Journal of Fluid EngineeringVol. 2(3)
China National Nuclear Corporation (CN), Zhejiang University (CN)
Openalex Percentile: Top 82%
Nuclear reactor physics and engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.