Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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A real-time unmeasured dynamic response prediction for nuclear facility pressure pipeline system

  • Seungin Oh (Department of Mechanical Engineering (Integrated Engineering), Kyung Hee University) ;
  • Hyunwoo Baek (Department of Mechanical Engineering (Integrated Engineering), Kyung Hee University) ;
  • Kang-Heon Lee (Korean Atomic Energy Research Institute) ;
  • Dae-Sic Jang (Korean Atomic Energy Research Institute) ;
  • Jihyun Jun (Korean Atomic Energy Research Institute) ;
  • Jin-Gyun Kim (Department of Mechanical Engineering (Integrated Engineering), Kyung Hee University)
  • Received : 2022.12.26
  • Accepted : 2023.03.23
  • Published : 2023.07.25
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Abstract

A real-time unmeasured dynamic response prediction process for the nuclear power plant pressure pipeline is proposed and its performance is tested in the test-loop system (KAERI). The aim of the process is to predict unmeasurable or unreachable dynamic responses such as acceleration, velocity, and displacement by using a limited amount of directly measured physical responses. It is achieved by combining a well-constructed finite element model and robust inverse force identification algorithm. The pressure pipeline system is described by using the displacement-pressure vibro-acoustic formulation to consider fully filled liquid effect inside the pipeline structure. A robust multiphysics modal projection technique is employed for the real-time sensor synchronized prediction. The inverse force identification method is also derived and employed by using Bathe's time integration method to identify the full-field responses of the target system from the modal domain computation. To validate the performance of the proposed process, an experimental test is extensively performed on the nuclear power plant pressure pipeline test-loop under operation conditions. The results show that the proposed identification process could well estimate the unmeasured acceleration in both frequency and time domain faster than 32,768 samples per sec.

Keywords

Acknowledgement

This research was funded by National Research Foundation of Korea (NRF-2020M2C9A1062790, NRF-2021R1A2C4087079).

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