摘要：Flexible riser is a key equipment for ensuring the continuous transportation of deep-sea mineral resources. Composite materials are more suitable for flexible risers due to their advantages such as high strength and weight reduction, and their structural design parameters directly affect their load-bearing performance. This paper takes the structural stiffness of composite flexible risers as the research object, and explores the influence of structural design parameters on the structural stiffness. A structural stiffness prediction model for flexible risers is established based on multi-layer artificial neural networks. A SBP-BNSGA-II model is proposed to obtain the Pareto frontier solution set for optimization objectives. Provide important reference for the structural design of composite flexible risers. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

ISSN号：2366-2557

卷、期、页：卷423页301-312

发表日期：2025-01-01

期刊分区（SCI为中科院分区）：无

收录情况：EI（工程索引）,国际学术会议论文集,CPCI-S（科技会议录索引）

发表期刊名称：Lecture Notes in Civil Engineering

通讯作者：孙海波,同武军,林泽庆,王震

第一作者：王莹莹,李育房

论文类型：会议论文

论文概要：孙海波,王莹莹,同武军,李育房,林泽庆,王震，Optimization Analysis of Structural Stiffness of Flexible Riser for Deep-Sea Mining Based on SBP-BNSGA-II Model，Lecture Notes in Civil Engineering，2025，卷423页301-312

论文题目：Optimization Analysis of Structural Stiffness of Flexible Riser for Deep-Sea Mining Based on SBP-BNSGA-II Model