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| Efficient Design Method of Flexible Riser Bend Stiffeners |
| Received:May 20, 2024 Revised:May 30, 2024 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2024.08.015 |
| KeyWord:bend stiffener structural design optimization genetic algorithm slender beam model non-linear behavior analysis |
| Author | Institution |
| DONG Leilei |
School of Naval Architecture and Ocean Engineering, Dalian University of Technology, Liaoning Dalian , China |
| WANG Huanting |
School of Naval Architecture and Ocean Engineering, Dalian University of Technology, Liaoning Dalian , China |
| WANG Yingying |
College of Safety and Ocean Engineering, China University of Petroleum, Beijing , China |
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| Abstract: |
| The work aims to build a simple and efficient design method for flexible riser bend stiffeners considering the nonlinear material behavior of polyurethane. The initial dimensions of the bend stiffener were firstly determined, based on which parametric analyses were performed and the design chart was drawn according to the analysis results. The optimal dimensions of the bend stiffener were then obtained using an interpolation technique. A case study was carried out for two typical environmental conditions, i.e. deep-water and shallow-water applications, using this method and the optimization method based on the genetic algorithm. The comparison of results confirmed the effectiveness of this method. It was also found through the comparison that the bend stiffener designed for the deep-water environmental condition was relatively short and thick, while that for the shallow-water condition was slenderer. The dimensions of the bend stiffeners for both conditions were smaller when material nonlinearity was taken into account. It is concluded that the developed method has a wide applicability and can significantly improve the efficiency while ensuring the optimal design. Compared with the optimization method based on the genetic algorithm, the design efficiency, when using the linear material and considering material nonlinearity, can be improved by approximately 10 times and 20 times, respectively. |
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