Identification of Multiple Local Damage to an Offshore Jacket Substructure Using a Novel Strain Expansion–Reduction Approach
Journal
Applied Sciences
Journal Volume
10
Journal Issue
22
Start Page
1
End Page
12
ISSN
2076-3417
Date Issued
2020-11-11
Author(s)
Abstract
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.
Subjects
Damage identification
Jacket substructure
Multiple instances of damage
Offshore wind turbine
Strain expansion–reduction approach
Structural health monitoring
Publisher
MDPI AG
Type
journal article