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性别: 男

毕业院校: 大连理工大学

学位: 博士

所在单位: 力学与航空航天学院

电子邮箱: yueqj@dlut.edu.cn

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Nonlinear analysis and multi-objective optimization for bend stiffeners of flexible riser

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论文类型: 期刊论文

发表时间: 2015-12-01

发表刊物: JOURNAL OF MARINE SCIENCE AND TECHNOLOGY

收录刊物: SCIE、Scopus

卷号: 20

期号: 4

页面范围: 591-603

ISSN号: 0948-4280

关键字: Bend stiffener of flexible riser; Nonlinearity; Shape optimization; Surrogate model; Pareto frontier

摘要: A bend stiffener is one of the key auxiliaries to protect the top section of the flexible riser used in deep water. An analytical model with material and geometric nonlinearity is developed to calculate the curvature of a flexible riser with bend stiffener loaded by tension and bending moment. The models with different material properties are computed. The sensitivities of the different shape parameters are analyzed and discussed for the bend stiffener of a flexible riser with 8 in. inner diameter used in 1500 m water depth. The fatigue resistance and structural weight of the bend stiffener are set as the objective functions, while the constraints are considered as the maximum curvature of the flexible riser should be less than an allowable level. A multi-objective shape optimization model of the bend stiffener is established and solved based on a surrogate model for the structural shape parameters. Additionally, the Pareto frontier of the multi-objective optimization is constructed and analyzed. Moreover, the calculation accuracy and efficiency of three different optimization algorithms are compared and discussed. The optimization method proposed in this paper provides a new theory and an effective tool to design the structure of a bend stiffener of the flexible riser in practical application.

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