.png){kind=icon}
返回
Filament wound pipes optimization platform development: A methodological approach
.png){kind=icon}
OA
AI
DOI：10.1016/j.compstruct.2022.115972.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A multi-objective and multi-level optimization procedure is developed for obtaining optimal structural design of filament wound composite pipes in oil and gas industries. At the first stage, regulated design constraints are identified. Required computational tools for predicting structural properties of the composite pipes are developed and validated through experimental study. Then, the pipe design procedure is formulated as an engineering optimization problem where a hybrid design-optimization platform is developed to deal with that. The platform integrates multi-objective genetic algorithm on level 1 with a premutation-based direct search approach on level 2. It is aimed to minimize the cost of the pipe while maximum values for other structural properties are expected. Manufacturing limitations are also taken into account as the constraints in addition to design requirements.
Keyword:
Composite pipes
Genetic algorithm
Experimental validation
Computational modeling
Filament winding
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.1
论文数:
1.8W
被引数:
8.0W
机构
引用论文
分享收藏Embryonic heat shock reveals latent hsp90 translation in zebrafish (Danio rerio)胚胎热休克揭示了斑马鱼中潜在的hsp90翻译 (Danio rerio)OAAI
OAAI分享收藏Simulation of the long-term hydrostatic tests on Glass Fiber Reinforced Plastic pipes.png)
COMPOSITE STRUCTURES
COMPOSITE STRUCTURESIF7.1
PREAI
分享收藏Stacking sequence optimization in composite tubes under internal pressure based on genetic algorithm accounting for progressive damageCOMPOSITE STRUCTURES
COMPOSITE STRUCTURESIF7.1
PREAI
分享收藏
查看更多内容