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.
Highlights
Structural health monitoring (SHM) is a multidisciplinary field combining sensor technology, signal processing, and statistical analysis
Numerical and experimental validation confirmed that the proposed strain expansion-reduction (SER) approach is an effective
Numerical and experimental validation confirmed that the proposed SER approach is an method of damage identification
Summary
Structural health monitoring (SHM) is a multidisciplinary field combining sensor technology, signal processing, and statistical analysis. SHM involves continuously monitoring structural health, identifying structural damage at an early stage, assessing structural performance in real time, preventing catastrophic failure through safety warnings, and providing critical information for planning and maintenance. In the late 1970s, the aerospace community began to investigate vibration-based damage identification methods [1]. The numerical analysis model was updated using modal parameters measured by comparing damaged and intact structures. Since the 1980s, the civil engineering community has continued to study vibration-based damage identification in bridges and buildings [3,4] through changes in modal parameters such as the natural frequency, damping ratio, and vibration mode. The oil and gas industry developed vibration-based damage identification technology and applied it to offshore oil industries [5].
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