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모드공간 칼만필터를 이용한 비고전감쇠 구조물의 모드식별

Modal Identification of a Non-Classically Damped Structure Using the Modal-Based Kalman Filter

  • 투고 : 2022.01.25
  • 심사 : 2022.10.19
  • 발행 : 2022.11.30

초록

For the visualization of dominant vibration pattern or the separation of modal response from measurements, the mode shape is very useful parameter. In this research, a modal-based Kalman filter defined in the modal space was introduced to decompose modes from one sensor response and develop a process to identify the mode shape using the correlation between the separated modes and the measured responses. It was observed that the updated modal responses by the mode shape was more precise than the originally extracted modes by modal-based Kalman filter. Furthermore, it was shown that the process can be extended to estimate the mode shape of non-classically damped structure in the state space. To verify the mode shape estimation framework proposed in this study, numerical simulations and application for the site-situ measurements were carried out. From the simulation results, it was found that the proposed modal identification technique had noise immunity; it can be applied to estimate the state space mode shape of non-classically damped structure and utilized on a system with very closely distributed modes such as a structure-tuned mass damper system.

키워드

과제정보

본 연구는 국토교통부 국토교통기술촉진연구사업의 연구비 지원(21CTAP-C164107-01)에 의해 수행되었습니다. 또한, 본 논문은 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업에 의해 수행되었습니다. (2020R1F1A1070349)

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