|本期目录/Table of Contents|

[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
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《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
作者:
周世博章文俊李泽华尹建川黄腾
(大连海事大学 航海学院,辽宁 大连 116026)
Author(s):
ZHOU Shibo ZHANG Wenjun LI Zehua YIN Jianchuan HUANG Teng
(Navigation College, Dalian Maritime University, Dalian Liaoning 116026, China)
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 nonlinear fitting
分类号:
X943
DOI:
10.11731/j.issn.1673-193x.2019.02.010
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 nonlinear 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.

参考文献/References:

[1]张泽国,尹建川,柳成,等.基于SAPSO-BP网络模型的港口潮汐实时预报[J].水运工程,2017(1):34-40. ZHANG Zeguo,YIN Jianchuan, LIU Cheng,et al. SAPSO-BP network in tidal level prediction of port [J].Port & Waterway Engineering,2017(1):34-40.
[2]YEONGAE HEO. An algorithm for the probabilistic risk calculation of dropped objects: Application of the pipeline protection system of offshore platforms[C]//2014 International conference on Computing in civil and building Engineering,2014.
[3]ALGHAMDI A A .Collapsible impact energy absorbers: an overview [J]. Thin-Walled Structures, 2001, 39(2):189-213.
[4]ARABZADEH H, ZEINODDINI M. Dynamic response of pressurized submarine pipelines subjected to transverse impact loads [J]. Procedia Engineering, 2001, 14(1):648-655.
[5]刘英芳,王海军,石强, 等.海洋平台物体坠落安全分析[J]. 船海工程, 2017,46(1):134-137. LIU Yingfang,WANG Haijun, SHI Qiang,et al. Risk asseement of dropped object for offshore platform [J].Ship & Ocean Engineering,2017,46(1):134-137.
[6]DET NORSKE VERITAS.Design against accidental loads :DNV [S]: 2010.
[7]周国宝,王林,渠延模,等.落物撞击海洋平台中撞击位置对结构响应的影响[J]. 科学技术与工程, 2012,32:1671-1815. ZHOU Guobao,Wang Lin, QU Yanmo,et al. The fluence of impact position to the offshore platform response under impact load[J].Science Technology and Engineering,2012,32:1671-1815.
[8]张海,刘蕊,王秀存,等.坠落物体产生的冲击荷载对海底管线的损伤分析[J]. 海洋技术,2008(1):1003-1029. ZHANG Hai, LIU Rui, WANG Xiucun, et al. Analysis of damage to seafloor pipeline by impact load from dropped object [J].Ocean Technology, 2008(1):1003-1029.
[9]GONG X, LOTHAR BIRK, XIAO C Y. Numerical study on the trajectory of dropped cylindrical objects [J].Ocean Engineering, 2017(11):59-60.
[10]白俊磊.海底管道坠物碰撞损伤数值模拟分析研究[D].大连:大连理工大学,2013.
[11]娄敏,明海芹.基于LS-DYNA海底悬空管道受坠物碰撞动力响应分析 [J]. 海洋通报,2015,34(1):113-120. LOU Min, MING Haiqin. The dynamic response analysis of submarine suspended pipeline impacted by dropped objects based on LS-DYNA[J]. Marine Science Bulletin 2015, 34(1):113-120.
[12]ROKAN UDDIN KAWAR.Assessment of dropped object risk on corroded subsea pipeline [J]. Ocean Engineering, 2015,1(106): 329-340.
[13]黄磊,张书华,张秋昭,等.基于粒子群优化的BP神经网络在GPS高程拟合中的应用[J].测绘信息与工程,2009,34(6): 18-20. HUANG Lei, ZHAGN Shuhua, ZHAGN Qiuzhao, et al. Application of paritical swarm of timization bp neural network to gps elevation fitting [J].Journal of Geomatics,2009,34(6): 18-20.
[14]林宇锋,邓洪敏,史兴宇.基于新的改进粒子群算法的BP神经网络在拟合非线性函数中的应用[J].计算机科学,2017,44(11):51-54. LIN Yufeng,DENG Hongmin, SHI Xingyu. Application of bp neural network based on newly improved partical swarm optimization algorithm in fitting nonlinear function [J].Computer Science, 2017, 44 (11) :51-54.
[15]GONG X, LOTHAR BIRK, XIAO C Y. Risk free zone study for cylindrical object dropped into the water [J], 2016, 4(6):377-400.
[16]ZHANG R, ZHI X D, FAN F. Plastic behavior of circular steel tubes subjected to low-velocity transverse impact [J]. International Journal of impact Engineering, 2017,(12):3-4.
[17]ZEINODDINI M, ARABZADEH H, EZZATI M, et al. Response of submarine pipelines to impacts from dropped objects: Bed flexibility effects [J]. International Journal of impact Engineering, 2013(6):1-3.
[18]YIN J C, PERAKIS A N, WANG A N.A real-time ship roll motion prediction using wavelet transform and variable RBF network [J]. Ocean Engineering, 2018,160: 10-19.

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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。
更新日期/Last Update: 2019-03-06