칼만필터에 의한 고정식 해양구조물의 미계측응답 추정

Title
칼만필터에 의한 고정식 해양구조물의 미계측응답 추정
Alternative Title
Unmeasured response estimation on bottom-fixed offshore structures using Kalman filtering
Author(s)
심성한; RP Palanisamy; 김원술; 이진학
KIOST Author(s)
Yi, Jin Hak(이진학)
Publication Year
2016-11-18
Abstract
Monitoring underwater structures is challenging in Structural Health monitoring field. These structures are subjected to tidal current which can easily cause sensor malfunctioning. Estimating structural responses at unmeasured important locations can be a powerful alternative to the direct measurement particularly when installing sensors is difficult and sensors are malfunctioning. This paper targets on Bottom-fixed offshore structures such as mono-piles, tripods, jackets, and gravity-based structures that supports offshore wind turbines and tidal stream turbines.Response estimation at unmeasured locations from a small number of measurements has been attractive to the researchers who seek to overcome the limited instrumentation. Various efforts for response estimation has been made such as finite element model updating with modal expansion (Iliopoulos et al. 2014), natural input modal analysis, time varying auto-regressive model (Yazid et al. 2012), and the model-based Kalman state estimator. Among these efforts, the Kalman state estimator associated with the FE model has been known as an effective tool to estimate the unmeasured responses. Papadimitriou et al. (2009) used strain measurements in the numerical simulation to obtain strain in the entire body, which is subsequently utilized to estimate fatigue remaining life of the structural model. Smyth and Wu (2007) used the Kalman filter to fuse acceleration and diations can be a powerful alternative to the direct measurement particularly when installing sensors is difficult and sensors are malfunctioning. This paper targets on Bottom-fixed offshore structures such as mono-piles, tripods, jackets, and gravity-based structures that supports offshore wind turbines and tidal stream turbines.Response estimation at unmeasured locations from a small number of measurements has been attractive to the researchers who seek to overcome the limited instrumentation. Various efforts for response estimation has been made such as finite element model updating with modal expansion (Iliopoulos et al. 2014), natural input modal analysis, time varying auto-regressive model (Yazid et al. 2012), and the model-based Kalman state estimator. Among these efforts, the Kalman state estimator associated with the FE model has been known as an effective tool to estimate the unmeasured responses. Papadimitriou et al. (2009) used strain measurements in the numerical simulation to obtain strain in the entire body, which is subsequently utilized to estimate fatigue remaining life of the structural model. Smyth and Wu (2007) used the Kalman filter to fuse acceleration and di
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/24317
Bibliographic Citation
한국해안해양공학회 추계학술대회, pp.163 - 166, 2016
Publisher
한국해안해양공학회
Type
Conference
Language
English
Publisher
한국해안해양공학회
Related Researcher
Research Interests

Ocean Energy-Tidal Current Energy Converter System,Infrastructure Management-Structural Health Monitoring,Offshore Wind,해양에너지-조류발전시스템,시설물 유지관리-구조건전성 평가,해상풍력

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