个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:力学与航空航天学院院长、党委副书记
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
学科:工程力学. 计算力学. 固体力学. 航空航天力学与工程. 船舶与海洋结构物设计制造
办公地点:工程力学系系楼305房间
联系方式:0411-84706832
电子邮箱:yanjun@dlut.edu.cn
Flexible Riser Configuration Design for Extremely Shallow Water With Surrogate-Model-Based Optimization
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论文类型:期刊论文
发表时间:2016-08-01
发表刊物:JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME
收录刊物:SCIE、EI、Scopus
卷号:138
期号:4
ISSN号:0892-7219
摘要:The aim of this paper is to study the optimization design of a steep wave configuration based on a surrogate model for an extremely shallow water application of a flexible riser. As the traditional technique of riser configuration design is rather time-consuming and exhaustive due to the nonlinear time domain analysis and large quantities of load cases, it will be challenging when engineers address an extreme design, such as the configuration design in the case of extremely shallow water. To avoid expensive simulations, surrogate models are constructed in this paper with the Kriging model and radial basis function (RBF) networks by using the samples obtained by optimal Latin hypercubic sampling (LHS) and time domain analysis in a specified design space. The RBF model is found to be easier to construct and to show better accuracy compared with the Kriging model according to the numerical simulations in this work. On the basis of the RBF model, a hybrid optimization is performed to find the minimum curvature design with corresponding engineering constraints. In addition, an optimized design is found to meet all of the design criteria with high accuracy and efficiency, even though all of the samples associated with construction of the surrogate model fail to meet the curvature criterion. Thus, the technique developed in this paper provides a novel method for riser configuration design under extreme conditions.