应用随机森林算法预测碳钢在世界不同地区暴露后第一年的腐蚀损失

IF 1.5 4区材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY

Corrosion Engineering, Science and Technology Pub Date : 2022-12-31 DOI:10.1080/1478422X.2022.2161336

M. Gavryushina, A. Marshakov, Yu. S. Panchenko

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引用次数: 0

摘要

摘要采用随机森林（RF）算法建立了两个预测世界不同地区碳钢露天第一年腐蚀损失（C1）的模型。第一个使用国际项目ISO CORRAG、MICAT和ECE/UN的联合数据库以及在俄罗斯进行的测试建立的RF模型旨在估计世界各地区各种类型大气中的C1。第二个RF模型能够预测世界大陆地区的C1。比较了两种RF和两种剂量响应函数（即ISO 9223标准中提出的函数和非海洋大气的新版函数）对C1预测的准确性。除对俄罗斯寒冷气候地区碳钢腐蚀损失的预测外，两个RF模型的可靠性显著高于剂量-响应函数的可靠性。

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Application of the random forest algorithm to predict the corrosion losses of carbon steel over the first year of exposure in various regions of the world

ABSTRACT The random forest (RF) algorithm was used to develop two models for predicting the first-year corrosion losses (C 1) of carbon steel in open air in various regions of the world. The first RF model built using combined databases of international programmes ISO CORRAG, MICAT and ECE/UN and tests conducted in Russia is intended for estimation of C 1 in various types of atmospheres in various regions of the world. The second RF model enables the prediction of C 1 in continental areas of the world. The accuracy of C 1 predictions by the two RF and two dose–response functions, i.e. the function presented in ISO 9223 standard and the new version for a non-marine atmosphere, was compared. The reliability of the two RF models was shown to be significantly higher than that of the dose–response functions with exception of the predictions for corrosion losses of carbon steel in regions of Russia with a cold climate.

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来源期刊

Corrosion Engineering, Science and Technology 工程技术-材料科学：综合

CiteScore

3.20

自引率

5.60%

发文量

审稿时长

3.4 months

期刊介绍： Corrosion Engineering, Science and Technology provides broad international coverage of research and practice in corrosion processes and corrosion control. Peer-reviewed contributions address all aspects of corrosion engineering and corrosion science; there is strong emphasis on effective design and materials selection to combat corrosion and the journal carries failure case studies to further knowledge in these areas.