DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim, Chun-Gon | - |
dc.contributor.advisor | 김천곤 | - |
dc.contributor.author | Shrestha, Pratik | - |
dc.date.accessioned | 2018-05-23T19:39:00Z | - |
dc.date.available | 2018-05-23T19:39:00Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=675870&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/242117 | - |
dc.description | 학위논문(박사) - 한국과학기술원 : 항공우주공학과, 2017.2,[vii, 136 p. :] | - |
dc.description.abstract | Real-time structural health monitoring system (SHM) to monitor low velocity impact on composite structure, which can cause barely visible impact damage, can ensure the safety and structural integrity of civil/military aircraft structure. In this dissertation, a novel error outlier method for localizing impact was proposed and several algorithms using this concept were developed. Impact localization study using 1D array fiber Bragg grating (FBG) sensor configuration were performed on a full scale composite wing of Jabiru UL-D aircraft. Impact signals were sampled using a high speed FBG interrogator at a frequency of 100 kHz. Furthermore, soft and hard-impact classification technique was developed and validated by localizing impacts delivered using trained and non-trained hammer with varying impactor hardness. The proposed method successfully classified and localized the trained hard-impacts with average error of 18.5 mm and maximum error of 41.5 mm, and the trained soft-impacts were localized with average error of 48.5 mm and maximum error of 111.0 mm. Whereas, the various non-trained impact cases were localized with average error of 80.7 mm and the maximum error ranged from 217.2 mm to 303.1 mm. The present study demonstrates the suitability of the proposed novel error outlier method based low velocity impact monitoring of trained or non-trained impact cases. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Composite Wing | - |
dc.subject | FBG Sensors | - |
dc.subject | Impact Localization | - |
dc.subject | Error Outlier | - |
dc.subject | SHM | - |
dc.subject | 복합재 주익 | - |
dc.subject | FBG 센서 | - |
dc.subject | 충격 위치 검출 | - |
dc.subject | 오차 아웃라이어 | - |
dc.subject | 구조 건전성 모니터링 | - |
dc.title | Novel error outlier method and FBG sensor based real-time low velocity impact monitoring of composite wing structure | - |
dc.title.alternative | 오차 아웃라이어 기법을 이용한 광섬유 FBG 센서 기반의 복합재료 날개 구조물 실시간 충격 모니터링 | - |
dc.type | Thesis(Ph.D) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :항공우주공학과, | - |
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