자료융합에 의한 고정식 해양구조물의 준실시간 연속 비정상 변형율 예측

DC Field Value Language
dc.contributor.author RP Palanisamy -
dc.contributor.author 정병진 -
dc.contributor.author 심성한 -
dc.contributor.author 이진학 -
dc.date.accessioned 2020-07-15T11:32:59Z -
dc.date.available 2020-07-15T11:32:59Z -
dc.date.created 2020-02-11 -
dc.date.issued 2018-08-29 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/23155 -
dc.description.abstract Offshore structures are generally exposed to harsh environments such as strong tidal currents and wind loadings. Monitoring the structural soundness and integrity of offshore structures is crucial to prevent catastrophic collapses and to prolong their lifetime however, it is intrinsically challenging because of the difficulties in accessing the critical structural members that are located under water for installing and repairing sensors and data acquisition systems. Virtualsensing technologies have the potential to alleviate such difficulties by estimating the unmeasured structural responses at the desired locations using other measured responses. Despite the usefulness of virtual sensing, its performance and applicability to the structural health monitoring of offshore structures have not been fully studied to date. This study investigates the use of virtual sensing of offshore structures. A Kalman filter based virtual sensing algorithm is developed to estimate responses at the location of interest. Further, this algorithm performs a multi-sensor data fusion to improve the estimation accuracy under non-stationary tidal loading. Numerical analysis and laboratory experiments are conducted to verify the performance of the virtual sensing strategy using a bottom-fixed offshore structural model. Numerical and experimental results show that the unmeasured responses can be reasonably recovered from the measured responses -
dc.description.uri 1 -
dc.language English -
dc.publisher Int'l Association of Structural Engineering & Mechanics (IASEM) -
dc.relation.isPartOf The 2018 World Congress on Advances in Civil, Environmental, & Materials Research (ACEM18) -
dc.title 자료융합에 의한 고정식 해양구조물의 준실시간 연속 비정상 변형율 예측 -
dc.title.alternative Quasi real-time and continuous non-stationary strain estimation in bottom-fixed offshore structures by multimetric data fusion -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 9 -
dc.citation.startPage 1 -
dc.citation.title The 2018 World Congress on Advances in Civil, Environmental, & Materials Research (ACEM18) -
dc.contributor.alternativeName 정병진 -
dc.contributor.alternativeName 이진학 -
dc.identifier.bibliographicCitation The 2018 World Congress on Advances in Civil, Environmental, & Materials Research (ACEM18), pp.1 - 9 -
dc.description.journalClass 1 -
Appears in Collections:
Marine Industry Research Division > Ocean Space Development & Energy Research Department > 2. Conference Papers
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