A nuclear primary pump rotor health state prediction method based on digital twinning

By combining digital twin models and sensor networks, the difficulties of model staticization and multi-physics field fusion in monitoring the health status of nuclear main pump rotors have been solved, enabling real-time and accurate health status monitoring and proactive safety protection of nuclear main pump rotors.

CN122174576APending Publication Date: 2026-06-09CNNC NUCLEAR POWER OPERATION MANAGEMENT CO LTD
View PDF 3 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CNNC NUCLEAR POWER OPERATION MANAGEMENT CO LTD
Filing Date
2026-05-11
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve real-time, accurate health status monitoring and fatigue life prediction for nuclear main pump rotors, primarily due to issues such as model staticization, difficulties in multi-physics field fusion, unmeasurable internal states, and dynamic characteristic drift.

Method used

By constructing a high-fidelity digital twin model, combining real-time data acquisition from sensor networks with dynamic updates based on differentiated strategies, fluid-structure-thermal coupling analysis is performed to invert the internal stress of the impeller, plot Campbell diagrams to avoid resonance, and predict lifespan using fatigue cumulative damage theory.

Benefits of technology

It enables precise, real-time health status monitoring and proactive safety protection of the nuclear main pump rotor, improving prediction accuracy and system safety.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122174576A_ABST
    Figure CN122174576A_ABST
Patent Text Reader

Abstract

The application particularly relates to a nuclear main pump rotor health state prediction method based on digital twinning, and belongs to the field of rotor state monitoring, which comprises the following steps: establishing an initial three-dimensional finite element model according to the actual geometric size and material properties of the rotor; dynamically updating the initial three-dimensional finite element model by using a digital twinning algorithm based on real-time operation data of the rotor, so as to obtain and continuously optimize a digital twinning model; performing fluid-structure-thermal coupling analysis on the updated digital twinning model, and calculating the natural frequency, modal shape of the rotor and the stress time history of the impeller; identifying the critical speed of the rotor and realizing resonance avoidance based on the natural frequency and modal shape of the rotor and the dynamic stress time history of the impeller, and predicting the fatigue life of the rotor impeller. The application realizes accurate prediction of the fatigue life of the nuclear main pump rotor and avoids resonance risk.
Need to check novelty before this filing date? Find Prior Art