Identification of Multiple Local Damage to an Offshore Jacket Substructure Using a Novel Strain Expansion–Reduction Approach
Modal parameter monitoring is a widely used structural health monitoring method. However, among other limitations, this method cannot effectively identify slight damage under ambient conditions. This study proposed a novel strain expansion–reduction approach for identifying damage. To verify the fea...
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MDPI AG
2020-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/22/7991 |
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doaj-61fb16a17525482aa106ff943f7deeaf2020-11-25T04:02:37ZengMDPI AGApplied Sciences2076-34172020-11-01107991799110.3390/app10227991Identification of Multiple Local Damage to an Offshore Jacket Substructure Using a Novel Strain Expansion–Reduction ApproachJia-Hao He0Ding-Peng Liu1Cheng-Hsien Chung2Hsin-Haou Huang3Department of Engineering Science and Ocean Engineering, National Taiwan University, Taipei 10617, TaiwanShip and Ocean Industries R&D Center, New Taipei City 251401, TaiwanShip and Ocean Industries R&D Center, New Taipei City 251401, TaiwanDepartment of Engineering Science and Ocean Engineering, National Taiwan University, Taipei 10617, TaiwanModal parameter monitoring is a widely used structural health monitoring method. However, among other limitations, this method cannot effectively identify slight damage under ambient conditions. This study proposed a novel strain expansion–reduction approach for identifying damage. To verify the feasibility of the proposed method, we numerically and experimentally tested the method using a rigid acrylic frame. The frame was artificially damaged at various depths to reflect various damage scenarios. The increase in the damage index provided an accurate estimation of damage severity. For the case with merely 0.5% damage zone in one slat, the index is increased by 259% of the intact case. When the damage zone was doubled, the index increases significantly by 467% of the intact case, demonstrating excellent sensitivity of the proposed method. To guarantee practical use, the numerical model of the proposed method was applied to an offshore wind turbine jacket substructure and successfully identified multiple damage sites and the damage severity with extremely high (>10) damage index.https://www.mdpi.com/2076-3417/10/22/7991damage identificationjacket substructuremultiple instances of damageoffshore wind turbinestrain expansion–reduction approachstructural health monitoring |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Jia-Hao He Ding-Peng Liu Cheng-Hsien Chung Hsin-Haou Huang |
| spellingShingle |
Jia-Hao He Ding-Peng Liu Cheng-Hsien Chung Hsin-Haou Huang Identification of Multiple Local Damage to an Offshore Jacket Substructure Using a Novel Strain Expansion–Reduction Approach Applied Sciences damage identification jacket substructure multiple instances of damage offshore wind turbine strain expansion–reduction approach structural health monitoring |
| author_facet |
Jia-Hao He Ding-Peng Liu Cheng-Hsien Chung Hsin-Haou Huang |
| author_sort |
Jia-Hao He |
| title |
Identification of Multiple Local Damage to an Offshore Jacket Substructure Using a Novel Strain Expansion–Reduction Approach |
| title_short |
Identification of Multiple Local Damage to an Offshore Jacket Substructure Using a Novel Strain Expansion–Reduction Approach |
| title_full |
Identification of Multiple Local Damage to an Offshore Jacket Substructure Using a Novel Strain Expansion–Reduction Approach |
| title_fullStr |
Identification of Multiple Local Damage to an Offshore Jacket Substructure Using a Novel Strain Expansion–Reduction Approach |
| title_full_unstemmed |
Identification of Multiple Local Damage to an Offshore Jacket Substructure Using a Novel Strain Expansion–Reduction Approach |
| title_sort |
identification of multiple local damage to an offshore jacket substructure using a novel strain expansion–reduction approach |
| publisher |
MDPI AG |
| series |
Applied Sciences |
| issn |
2076-3417 |
| publishDate |
2020-11-01 |
| description |
Modal parameter monitoring is a widely used structural health monitoring method. However, among other limitations, this method cannot effectively identify slight damage under ambient conditions. This study proposed a novel strain expansion–reduction approach for identifying damage. To verify the feasibility of the proposed method, we numerically and experimentally tested the method using a rigid acrylic frame. The frame was artificially damaged at various depths to reflect various damage scenarios. The increase in the damage index provided an accurate estimation of damage severity. For the case with merely 0.5% damage zone in one slat, the index is increased by 259% of the intact case. When the damage zone was doubled, the index increases significantly by 467% of the intact case, demonstrating excellent sensitivity of the proposed method. To guarantee practical use, the numerical model of the proposed method was applied to an offshore wind turbine jacket substructure and successfully identified multiple damage sites and the damage severity with extremely high (>10) damage index. |
| topic |
damage identification jacket substructure multiple instances of damage offshore wind turbine strain expansion–reduction approach structural health monitoring |
| url |
https://www.mdpi.com/2076-3417/10/22/7991 |
| work_keys_str_mv |
AT jiahaohe identificationofmultiplelocaldamagetoanoffshorejacketsubstructureusinganovelstrainexpansionreductionapproach AT dingpengliu identificationofmultiplelocaldamagetoanoffshorejacketsubstructureusinganovelstrainexpansionreductionapproach AT chenghsienchung identificationofmultiplelocaldamagetoanoffshorejacketsubstructureusinganovelstrainexpansionreductionapproach AT hsinhaouhuang identificationofmultiplelocaldamagetoanoffshorejacketsubstructureusinganovelstrainexpansionreductionapproach |
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