[1]周世博,章文俊,李泽华,等.基于SAPSO-BP网络模型的海洋平台落物碰撞损伤分析[J].中国安全生产科学技术,2019,15(2):64-69.[doi:10.11731/j.issn.1673-193x.2019.02.010]
ZHOU Shibo,ZHANG Wenjun,LI Zehua,et al.Analysis on impacting damage of dropped object on offshore platform based on SAPSO-BP network model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(2):64-69.[doi:10.11731/j.issn.1673-193x.2019.02.010]
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基于SAPSO-BP网络模型的海洋平台落物碰撞损伤分析
ZHOU Shibo,ZHANG Wenjun,LI Zehua,et al.Analysis on impacting damage of dropped object on offshore platform based on SAPSO-BP network model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(2):64-69.[doi:10.11731/j.issn.1673-193x.2019.02.010]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 15
- 期数:
- 2019年2期
- 页码:
- 64-69
- 栏目:
- 职业安全卫生管理与技术
- 出版日期:
- 2019-02-28
文章信息/Info
- Title:
- Analysis on impacting damage of dropped object on offshore platform based on SAPSO-BP network model
- 文章编号:
- 1673-193X(2019)-02-0064-06
- 关键词:
- 落物; 碰撞角度; SAPSO-BP网络模型; Ansys仿真; 非线性拟合
- Keywords:
- dropped object; impacting angle; SAPSO-BP network model; ANSYS simulation; nonlinear fitting
- 分类号:
- X943
- 文献标志码:
- A
- 摘要:
- 为了确保海洋平台作业过程中落物坠落对甲板撞击后的结构安全，对坠落立管撞击海洋平台甲板的过程进行了非线性仿真分析。运用ANSYS/LS-DYNA建立有限元模型，对坠落立管不同撞击角度撞击海洋平台甲板进行模拟计算，得到甲板在不同工况下的损伤情况。运用1种自适应性变异的粒子群优化算法SAPSO与BP神经网络结合［1］，对海洋平台进行落物碰撞损伤分析。研究结果表明：落物与垂直方向偏离5°～10°为坠落时最危险的工况。SAPSO-BP提高了BP神经网络的拟合能力，减小了拟合误差，提高了拟合精度，验证了SAPSO-BP网络模型的实用性和可靠性。综合考虑制定适用于海洋平台落物安全的工作程序和平台及设备的防护措施，为海洋平台作业中落物风险评估和海洋平台作业安全保障提供参考。
- Abstract:
- In order to ensure the structure safety of offshore platform after the impact of dropped object on deck during the operation process, the nonlinear simulation analysis on the process of the dropped riser impacting the deck of offshore platform was carried out. A finite element model was established by using ANSYS/LSDYNA, and the simulation calculation on the dropped riser impacting the deck of offshore platform under different impacting angles was conducted, then the damage of deck under different conditions was obtained. The impacting damage of the falling object on the offshore platform was analyzed by using an adaptive mutation particle swarm optimization algorithm SAPSO combined with BP neural network. The results showed that SAPSO-BP improved the fitting ability of BP neural network, reduced the fitting error and improved the fitting accuracy. The practicability and reliability of SAPSO-BP network model were verified. Comprehensive consideration shall be given to the development of the working procedures and the protection measures of platform and equipments being applicable to the dropped objects safety of offshore platform, and it will provide reference for the risk assessment of dropped objects and safety guarantee of offshore platform operation.
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相似文献/References:
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LU Zhengguang,XIA Zhi,RUAN Zhe,et al.Analysis on motion trajectory and landing points of dropped cylinder on offshore platform[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(2):41.[doi:10.11731/j.issn.1673-193x.2018.08.007]
[2]陆争光,韩亚冲,李虎,等.基于Monte Carlo的海洋平台圆柱落物落点分析及危险区快速评价*[J].中国安全生产科学技术,2021,17(5):39.[doi:10.11731/j.issn.1673-193x.2021.05.006]
LU Zhengguang,HAN Yachong,LI Hu,et al.Analysis on landing points of cylindrical dropped objects and fast evaluation of risk zone on offshore platform based on Monte Carlo method[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(2):39.[doi:10.11731/j.issn.1673-193x.2021.05.006]
备注/Memo
- 备注/Memo:
-
收稿日期： 2018-11-11
基金项目： 国家自然科学基金项目（51879024）；辽宁省自然科学基金项目（2018228002,20180551040，20180520034）；第七代超深水钻井平台（船）创新专项
作者简介： 周世博，硕士研究生，主要研究方向为航海安全保障、海洋平台结构物、海洋工程。
