Dent damage identification in stiffened cylindrical structures using inverse finite element method

Li, Mingyang and Kefal, Adnan and Cerik, Burak Can and Öterkuş, Erkan (2020) Dent damage identification in stiffened cylindrical structures using inverse finite element method. Ocean Engineering, 198 . ISSN 0029-8018

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The offshore industry has been using stiffened thin-walled steel cylindrical structures for decades, particularly as the columns of floating offshore installations. The floating offshore installations may be subjected to severe marine environmental conditions. Accidents such as collisions may also occur. Structural Health Monitoring (SHM) is a viable tool to maintain safe operation of offshore installations. Inverse Finite Element Method (iFEM) is one of the most powerful methods for SHM process. Hence, this study focuses on the application of iFEM methodology to thin-walled cylindrical structures representing the columns of floating offshore installations. iFEM methodology is verified by comparing its displacement results against reference finite element method (FEM) solution. After this verification, four different damage cases with different size, location and number of damages are considered. By using a newly introduced damage parameter and von Mises strain distribution iFEM accurately identified the correct damage locations and sizes. Therefore, it is concluded that iFEM can be used for structural damage prediction in offshore structures with high accuracy even if the number of the strain sensors is limited.
Item Type: Article
Uncontrolled Keywords: Structural health monitoring, Inverse finite element method, Stiffened cylinder, Floating offshore installations
Subjects: Q Science > Q Science (General)
T Technology > TJ Mechanical engineering and machinery
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Integrated Manufacturing Technologies Research and Application Center
Faculty of Engineering and Natural Sciences
Depositing User: Adnan Kefal
Date Deposited: 30 Apr 2020 15:00
Last Modified: 29 Jul 2023 16:17

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