Structural damage identification by a cross modal energy sensitivity based mode subset selection strategy

Xu, Mingqiang; Wang, Shuqing; Jiang, Ye

doi:10.1016/j.marstruc.2021.102968

Cited by 12 publications

(4 citation statements)

References 27 publications

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“…However, the majority of the existing modal-based methods are still subject to incomplete modal information, 49,50 environment noise, 51 and ill-conditioned solutions of overdetermined linear equations, 46 etc. These factors not only increase the computational complexity but also reduce the robustness of calculation methods.…”

Section: Structure Health Monitoring Of Offshore Jacket Structuresmentioning

confidence: 99%

Condition-based structural health monitoring of offshore wind jacket structures: Opportunities, challenges, and perspectives

Leng

Gardoni

Wang

et al. 2023

Structural Health Monitoring

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Structural health monitoring (SHM) has been recognized as a useful tool for safety management and risk reduction of offshore wind farms. In complex offshore environment, jacket structures of offshore wind turbines are prone to damages due to corrosion and fatigue. Effective SHM on jacket structures can substantially reduce their operation risk and costs. This work reviews the latest progress on the SHM of offshore wind jacket structures. The achievements in the structural damage identification, location, quantification, and remaining useful life (RUL) estimation are respectively introduced in detail, and existing challenges are discussed. Possible solutions to the challenges using the Digital Twin (DT) technology are put forward. The DT is able to mirror a real jacket structure into a virtual model, and Bayesian updating can refresh the virtual model parameters in real-time to keep consistency between virtual model and physical structure; then, just-in-time SHM can be carried out for jacket structures by performing damage detection, location, quantification, and RUL estimation using the virtual model. As a result, the DT may provide engineers and researchers a practicable tool for safety monitoring and risk reduction of fixed foundation offshore wind structures.

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Section: Structure Health Monitoring Of Offshore Jacket Structuresmentioning

confidence: 99%

Condition-based structural health monitoring of offshore wind jacket structures: Opportunities, challenges, and perspectives

Leng

Gardoni

Wang

et al. 2023

Structural Health Monitoring

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“…As for the CMSE method, fewer MCs are required to construct the indeterminate system of linear regression equations. Thus the damage identification performance of the CMSE method can be further improved by properly selecting the subsets of MCs, which are more sensitive to damage 58 but robust to noise 29 …”

Section: Numerical Simulationmentioning

confidence: 99%

Structural damage identification with limited modal measurements and ultra‐sparse Bayesian regression

Guo

Wang

et al. 2021

Struct Control Health Monit

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“…Similarly, Zhao et al [12] drew the stress-time curve of the foundation pile, and studied the dynamic response properties of pier under impact load by extracting the curve properties. In terms of local dynamic properties, the modal strain energy method is also recognized as a method that can determine damage [13][14][15]. Hadjian et al [16] proposed a damage identification method based on modal kinetic energy change rate as a parameter, which can simultaneously locate and quantify damage.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Damage Identification of High-Pile Wharf Framed Bents under Horizontal Impact Loads

Zheng,

Xiao,

Zhang

et al. 2024

Sensors

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This study investigates damage characteristics, dynamic structural performance changes, and quantitative damage assessment of high-pile wharf framed bents exposed to horizontal impact loads. Through extensive testing of wharf framed bents under such loads, a damage identification approach based on stiffness, natural vibration period, and acceleration data derived from experiments is presented. The findings reveal that under horizontal impact loads, framed bents initially exhibit tensile damage and leaning piles, followed by short straight piles. Additionally, structural damage results in a reduced self-oscillation frequency and an increased amplitude decay rate. Both stiffness-based and cycle-based damage indicators effectively track the cumulative damage progression of the structure. However, the cycle-based damage indicators demonstrate superior stability and accuracy, while acceleration-based indicators precisely identify the moment of damage mutation. This research contributes to enhancing local components, implementing damage identification methods, and advancing health monitoring practices in high-pile wharf projects, aligning with the standards of scientific publications in the field.

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Structural damage identification by a cross modal energy sensitivity based mode subset selection strategy

Cited by 12 publications

References 27 publications

Condition-based structural health monitoring of offshore wind jacket structures: Opportunities, challenges, and perspectives

Condition-based structural health monitoring of offshore wind jacket structures: Opportunities, challenges, and perspectives

Structural damage identification with limited modal measurements and ultra‐sparse Bayesian regression

Experimental Investigation and Damage Identification of High-Pile Wharf Framed Bents under Horizontal Impact Loads

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