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MULTI-OBJECTIVE OPTIMIZATION OF SUBSEA PIPELINE ROUTES IN SHALLOW WATERS

机译:浅水区浅水管道路线的多目标优化

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This paper presents recent advances regarding a computational tool, based in Evolutionary Algorithms, for the synthesis and optimization of submarine pipeline routes. Previous works by the authors have focused on some specific issues related to the development of this tool, including the incorporation of engineering criteria such as on-bottom stability (OBS), VIV-induced fatigue in free-spanning pipelines, and flow assurance. Now, this work studies the influence of different OBS criteria for particular scenarios in shallow waters, where it is expected that the environmental loads of wave and current play a more important role on the hydrodynamic stability of the pipe. Case studies are presented, to compare the influence of OBS criteria proposed by the DNV RP-F109 code (Absolute Lateral Static Stability, and Generalized Lateral Stability), both implemented into a multi-objective procedure (using specialized algorithms based on the Pareto approach) along with other engineering criteria (VIV-induced fatigue and multiphase flow).
机译:本文介绍了基于进化算法的计算工具的最新进展,该工具可用于海底管道路线的综合和优化。作者之前的工作集中在与该工具开发相关的一些特定问题上,包括并入了工程标准,例如底部稳定性(OBS),自由跨度管道中VIV引起的疲劳和流量保证。现在,这项工作研究了不同的OBS准则对浅水中特定情况的影响,在该情况下,预计波浪和水流的环境负荷对管道的水动力稳定性起着更重要的作用。进行案例研究,以比较由DNV RP-F109代码(绝对横向静态稳定性和广义横向稳定性)提出的OBS标准的影响,二者均实现为多目标程序(使用基于Pareto方法的专用算法)以及其他工程标准(VIV引起的疲劳和多相流)。

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