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作 者:刘雪云[1,2] 赵光连 钟诗胜[1] 焦映厚[1] 赵继俊
机构地区:[1]哈尔滨工业大学机电工程学院,黑龙江哈尔滨150001 [2]哈尔滨工业大学(威海)船舶与海洋工程学院,山东威海264209 [3]威海市能源监测中心,山东威海264209
出 处:《中国石油大学学报(自然科学版)》2013年第1期119-124,共6页Journal of China University of Petroleum(Edition of Natural Science)
基 金:国家'863'计划资助项目(2009AA043404)
摘 要:准确掌握在役储罐的健康状况可以为储罐维修维护提供决策支持。通过分析储罐底圈壁板强度失效的影响因素,建立底圈罐壁结构抗力的衰减模型;根据灰色理论建立非等间距GM(1,1)的底圈罐壁腐蚀速率预测模型,采用储罐历年的检测数据对底圈壁板的腐蚀速率进行预测,并对预测的精度进行检验;通过对实测数据的统计分析得到底圈壁板腐蚀深度及罐内液体载荷的分布特征,根据可靠性理论建立底圈壁板的时变可靠性模型,并利用广义随机空间内改进的一次二阶矩法求解可靠性指标。结果表明:底圈壁板的腐蚀深度和罐内油、水的高度符合正态分布;预测模型的拟合精度较高;储罐在服役22 a后其失效概率超过10-3,应对底圈罐壁进行适当的维修与维护。The grasping of accurate knowledge of the health status of storage tanks in service can provide decision support for their maintenances. Various factors impacting the strength failure of the bottom shell were analyzed, and the degradation model of structural resistance of the bottom shell was established. Then, a corrosion rate prediction model based on non-equi- distance grey model GM ( 1, 1 ) was proposed according to the grey theory, and its prediction precision was validated by u- sing the past inspection data. Finally, the distribution types of corrosion depth and liquid load were acquired based on the a- nalysis of the measured data. And a time-variant reliability model for the bottom shell was established according to the struc- tural reliability theory, where the reliability indices were solved via modified first-order second-moment method in generalized random space. The results show that, the corrosion depth of the bottom shell and the height of oil, water in tank fit the nor- mal distribution. Fitting accuracy of the prediction model is high. The failure probability of storage tank is more than 10-3 af- ter serving 22 years, and the appropriate repair and maintenance measures can be taken for the bottom shell.
分 类 号:TE985.7[石油与天然气工程—石油机械设备] O159[理学—数学]
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