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[1]周娇,彭星煜,曹军峰,等.基于ANSYS-PDS的含缺陷压力容器可靠性分析*[J].中国安全生产科学技术,2022,18(2):165-171.[doi:10.11731/j.issn.1673-193x.2022.02.025]
　ZHOU Jiao,PENG Xingyu,CAO Junfeng,et al.Reliability analysis of pressure vessel with defects based on ANSYS-PDS[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(2):165-171.[doi:10.11731/j.issn.1673-193x.2022.02.025]
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基于ANSYS-PDS的含缺陷压力容器可靠性分析*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年2期
页码:
165-171
栏目:
职业安全卫生管理与技术
出版日期:
2022-02-28

文章信息/Info

Title:
Reliability analysis of pressure vessel with defects based on ANSYS-PDS
文章编号:
1673-193X(2022)-02-0165-07
作者:
周娇; 彭星煜; 曹军峰; 张杰东; 刘金玲; 姜雪
（1.中石化安全工程研究院有限公司，山东 青岛 266000；
2.西南石油大学 石油与天然气工程学院，四川 成都 610500；
3.中石油青海油田分公司监督监理公司，甘肃 酒泉 736200）
Author(s):
ZHOU Jiao;  PENG Xingyu;  CAO Junfeng;  ZHANG Jiedong;  LIU Jinling;  JIANG Xue
(1.SINOPEC Research Institute of Safety Engineering Co.,Ltd.,Qingdao Shandong 266000，China;
2.Petroleum Engineering School,Southwest Petroleum University,Chengdu Sichuan 610500,China;
3.Supervision Company of PetroChina Qinghai Oilfield Company,Jiuquan Gansu 736200，China)
关键词:
ANSYS-PDS; 含缺陷压力容器; 可靠性分析; 响应面法; 蒙特卡洛法抽样
Keywords:
ANSYS-PDS;  pressure vessel with defects;  reliability analysis;  response surface method;  Monte Carlo sampling
分类号:
X933.4
DOI:
10.11731/j.issn.1673-193x.2022.02.025
文献标志码:
A
摘要:
为更准确地分析含缺陷压力容器的可靠性，提出采用ANSYS软件中的PDS模块建模求解，从本质上克服API 581压力容器可靠性分析的局限性，采用将压力容器的内径、原始壁厚、缺陷深度、压力容器内压设置为服从正态分布的随机变量的方法，基于响应面法结合蒙特卡洛法抽样分析，通过编写APDL代码，探讨含缺陷压力容器的可靠性。结果表明：采用ANSYS-PDS建模求解压力容器的可靠性，比API 581更贴近压力容器现实工艺状态，可得到更为准确的可靠性分析结果；通过灵敏度分析可知，4个随机变量对该压力容器可靠性的影响程度及大小排序为：原始壁厚(59.43%)>压力容器内压(20.20%)>缺陷深度(17.96%)>压力容器内径(2.40%)。研究结果对含缺陷压力容器的安全管理具有重要意义。
Abstract:
In order to analyze the reliability of pressure vessel with defects more accurately,the PDS module in ANSYS software was innovatively used in the modeling and solving to essentially overcome the limitation of API 581 pressure vessel reliability analysis.The inner diameter,original wall thickness,defect depth and internal pressure of pressure vessel were set as the random variables subject to normal distribution,the reliability of pressure vessel with defects was discussed by writing APDL codes based on the response surface method and combined with the Monte Carlo sampling analysis.The results showed that using ANSYS-PDS modeling to solve the reliability of pressure vessels was closer to the actual process state of pressure vessels than API 581,and more accurate reliability analysis results could be obtained.According to the sensitivity analysis,the influence degree and size of the four random variables on the reliability of pressure vessel were as follows: original wall thickness (59.43%)>internal pressure of pressure vessel (20.20%)>defect depth (17.96%)>inner diameter of pressure vessel (2.40%).It is of great significance to realize the safe production and operation management of pressure vessels with defects.

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备注/Memo

备注/Memo:
收稿日期： 2021-03-06
* 基金项目： 中国石化科技部项目(A-561)
作者简介： 周娇，硕士，助理工程师，主要研究方向为油气储运安全工程与可靠性工程。
更新日期/Last Update: 2022-03-18