Comparative estimation of long-term predictions of corrosion losses for carbon steel and zinc using various models for the Russian territory

被引:13
作者
Panchenko, Yu. M. [1 ]
Marshakov, A. I. [1 ]
Nikolaeva, L. A. [1 ]
Kovtanyuk, V. V. [1 ]
Igonin, T. N. [1 ]
Andryushchenko, T. A. [1 ]
机构
[1] Russian Acad Sci, AN Frumkin Inst Phys Chem & Electrochem, Moscow, Russia
关键词
Carbon steel; zinc; weight loss; modelling; atmospheric corrosion; ARTIFICIAL NEURAL-NETWORK; DOSE-RESPONSE FUNCTIONS; ATMOSPHERIC CORROSION; MICAT PROJECT; ALUMINUM; METALS;
D O I
10.1080/1478422X.2016.1227024
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Based on the results of 1-year tests at 12 sites in the Far Eastern region of Russia, priority dose-response functions (DRFs) that provide the best match with experimental data on corrosion losses for carbon steel and zinc have been selected. Long-term (up to 50 years) predictions of corrosion losses of these metals in the continental territory of Russia have been given. A comparative estimation of the mass loss predictions by priority DRFs and the power-linear model has also been given.
引用
收藏
页码:149 / 157
页数:9
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