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基于多岛遗传算法的深海复合材料悬链线立管优化设计

刘昊 杨和振

哈尔滨工程大学学报Issue(7):819-825,7.
哈尔滨工程大学学报Issue(7):819-825,7.DOI:10.3969/j.issn.1006-7043.201208017

基于多岛遗传算法的深海复合材料悬链线立管优化设计

Deepwater composite catenary riser optimization design based on the multi-island genetic algorithm

刘昊 1杨和振2

作者信息

  • 1. 上海交通大学 船舶海洋与建筑工程学院 海洋工程国家重点实验室,上海200240
  • 2. 上海打捞局,上海200090
  • 折叠

摘要

Abstract

In deepwater resource exploitation, fiber reinforced composite materials offer several advantages, such as high specific strength, high corrosion resistance, and high fatigue resistance. However, application of composites to offshore risers also introduces a large number of design variables and constraints in structural design due to the ani⁃sotropy of composite materials and multi⁃layer structures. A methodology was presented for optimization design of composite catenary risers based on the global⁃local analysis, with the consideration of design and safety require⁃ments. First, the classical lamination theory was used to obtain the equivalent mechanical properties of the laminat⁃ed tube, and next an equivalent structural model was built and a global dynamic analysis of it under the load of o⁃cean environment was performed. Finally, the optimization procedure was applied by taking the thickness and wind⁃ing angle of layers as design variables and the strength and buckling load of different dangerous cross sections as constraints under various working conditions. The multi⁃island genetic algorithm was used as the optimal strategy;the optimized composite catenary riser meets the strength and stiffness design requirements and saves a certain a⁃mount of composite materials. Research shows that the proposed methodology of composite catenary riser optimiza⁃tion design based on multi⁃island genetic algorithm is feasible.

关键词

复合材料/深海悬链线立管/优化设计/多岛遗传算法/屈曲

Key words

composite/deepwater catenary riser/optimization design/multi-island genetic algorithm/buckling

分类

通用工业技术

引用本文复制引用

刘昊,杨和振..基于多岛遗传算法的深海复合材料悬链线立管优化设计[J].哈尔滨工程大学学报,2013,(7):819-825,7.

基金项目

国家自然科学基金资助项目(51009093);国家自然科学重点基金资助项目(50739004). ()

哈尔滨工程大学学报

OA北大核心CSCDCSTPCD

1006-7043

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