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| 海洋环境中平台钢腐蚀速率的三层BP 神经网络预测 | |
| 引用本文： | 兰志刚,侯保荣,白 刚,宋积文,陈胜利,谭 震,张 杰.海洋环境中平台钢腐蚀速率的三层BP 神经网络预测[J].海洋科学,2010,34(12):75-77. |
| 作者姓名： | 兰志刚 侯保荣 白 刚 宋积文 陈胜利 谭 震 张 杰 |
| 作者单位： | 1. 中国科学院,海洋研究所,山东,青岛,266071;中海油能源发展股份有限公司北京分公司,北京,100027;中国科学院,研究生院,北京,100039 2. 中国科学院,海洋研究所,山东,青岛,266071 3. 中海油有限公司工程建设部,北京,100010 4. 中海油能源发展股份有限公司北京分公司,北京,100027 |
| 基金项目： | 海洋石油总公司综合科研项目 |
| 摘 要： | 利用三层BP神经网络预测海洋环境因素对材料的腐蚀速率的影响。结合实测的pH值、温度、溶解氧、盐度、生物附着等影响因素,分析了上述环境因素对平台钢腐蚀的影响,建立环境因素与腐蚀速率之间的映射关系,预测了平台钢在海洋环境中的腐蚀速率。结果表明,全浸区腐蚀速率预测误差为6.95%,潮差带腐蚀速率预测误差为4.2%,预测精度较高。说明利用三层BP神经网络预测钢在海水中腐蚀速率技术可行,具有较高的预测精度和应用价值。 |
| 关 键 词： | 腐蚀因素 腐蚀速率预测 BP 神经网络 海洋环境腐蚀预测 |
| 收稿时间： | 5/4/2010 12:00:00 AM |
| 修稿时间： | 2010/10/18 0:00:00 |
Prediction of effects of marine environmental factors on steel corrosion rates with three-layer BP neural network |
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| LAN Zhi-gang,HOU Bao-rong,BAI Gang,SONG Ji-wen,CHEN Sheng-li,TAN Zhen,ZHANG Jie.Prediction of effects of marine environmental factors on steel corrosion rates with three-layer BP neural network[J].Marine Sciences,2010,34(12):75-77. | |
| Authors: | LAN Zhi-gang HOU Bao-rong BAI Gang SONG Ji-wen CHEN Sheng-li TAN Zhen ZHANG Jie |
| Abstract: | We introduced the methodology to study relationship between steel corrosion and marine environmental factors and to predict of steel corrosion rates with three-layer BP neural network. With the in situ measurements of pHs, water temperatures, dissolved oxygen, salinities and bio-fouling, the effects of marine environmental factors on steel corrosion were analyzed and sorted in a descending sequence. With a three-layer BP neural network, the corrosion rates of steel in seawater were predicted with an error of 6.95% in submerged zones and 4.2% in tidal zones. The results show that prediction with the neural network was feasible, producing good prediction accuracy and value. |
| Keywords: | corrosion factors prediction of corrosion rate three-layer BP neural network prediction of corrosion on marine environmental |
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