Development of the Structural Health Record of Containment Building in Nuclear Power Plant

Shih Yu Chu, Chan Jung Kang

Research output: Contribution to journalArticlepeer-review

Abstract

The main objective of this work is to propose a reliable routine standard operation procedures (SOP) for structural health monitoring and diagnosis of nuclear power plants (NPPs). At present, NPPs have monitoring systems that can be used to obtain the quantitative health record of containment (CTMT) buildings through system identification technology. However, because the measurement signals are often interfered with by noise, the identification results may introduce erroneous conclusions if the measured data is directly adopted. Therefore, this paper recommends the SOP for signal screening and the required identification procedures to identify the dynamic characteristics of the CTMT of NPPs. In the SOP, three recommend methods are proposed including the Recursive Least Squares (RLS), the Observer Kalman Filter Identification/Eigensystem Realization Algorithm (OKID/ERA), and the Frequency Response Function (FRF). The identification results can be verified by comparing the results of different methods. Finally, a preliminary CTMT healthy record can be established based on the limited number of earthquake records. It can be served as the quantitative reference to expedite the restart procedure. If the fundamental frequency of the CTMT drops significantly after the Operating Basis Earthquake and Safe Shutdown Earthquake (OBE/SSE), it means that the restart actions suggested by the regulatory guide should be taken in place immediately.

Original languageEnglish
Pages (from-to)2038-2045
Number of pages8
JournalNuclear Engineering and Technology
Volume53
Issue number6
DOIs
Publication statusPublished - 2021 Jun

All Science Journal Classification (ASJC) codes

  • Nuclear Energy and Engineering

Fingerprint

Dive into the research topics of 'Development of the Structural Health Record of Containment Building in Nuclear Power Plant'. Together they form a unique fingerprint.

Cite this