基于数值模拟的海上浮动平台上的压载水箱稳定性的研究
Huiyuan Zheng1, Shicheng Wang1, Shihua Li1
1National Ocean Technology Center, Tianjin, China.
PloS one
|October 16, 2025
概括
在"Guo Hai Shi 1"平台上的压载有效地减少了波浪中的滚动和曲折运动. 一个新的人工智能模型准确地预测平台距离,改善了离岸结构的稳定性分析.
科学领域:
- 海军建筑和海洋工程
- 海洋工程 海洋工程
- 水力动力学是指水力动力学.
背景情况:
- 离岸浮动平台需要强大的稳定,以确保运营安全和效率.
- 被动反滚水箱是大型浮动结构中减轻滚动的常见方法.
研究的目的:
- 为了评估使用压载作为"Guo Hai Shi 1"平台上的反滚装置的有效性.
- 分析不同压载水量对平台稳定性和运动响应的影响.
主要方法:
- 利用内部坦克理论来模拟四个独立压载坦克的影响.
- 进行了定期和不规则的波浪模拟,以评估运动反应 (俯冲,滚动,俯冲,俯冲).
- 开发并验证了一种CNN_BiLSTM_Attention算法,用于预测音程运动时间序列.
主要成果:
- 在常规波浪中,压载水箱的滚动幅度显著降低,高达40%,偏移幅度降低24.5%.
- 在不规则波浪中,波振幅降低了高达8.34%,提高了波浪后续性能.
- 在CNN_BiLSTM_Attention模型显示出优异的预测准确性 (R2 = 0.9658,RMSE = 0.5343).
结论:
- 压力箱在抑制合运动和提高研究平台的稳定性方面是有效的.
- 开发的AI模型提供了一个强大的工具,可以在各种条件下预测平台的运动反应.
- 未来的研究应该专注于优化压载设计和将预测模型与动态控制系统集成在一起.
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