Prediction of marine sediment corrosion by fuzzy clustering analysis

被引：4

作者：

Duan, J ^{[1
]}

Xiang, B

Wang, X

Huang, Y

Ma, S

Hou, B

机构：

[1] Ocean Univ China, Coll Chem & Engn, Qingdao 266003, Peoples R China

[2] Chongqing Univ, Dept Chem & Chem, Chongqing 400044, Peoples R China

[3] Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China

来源：

MATERIALS AND CORROSION-WERKSTOFFE UND KORROSION | 2005年 / 56卷 / 07期

关键词：

D O I：

10.1002/maco.200503861

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Along with the development of marine industries, especially marine petroleum exploitation, more and more pipelines are buried in the marine sediment. It is necessary and useful to know the corrosion environment and corrosiveness of marine sediment. In this paper, field corrosion environmental factors were investigated in Liaodong Bay marine sediment containing sulfate-reducing bacteria (SRB) and corrosion rate of steel in the partly sediment specimens were determined by the transplanting burying method. Based on the data, the fuzzy clustering analysis (FCA) was applied to evaluate and predict the corrosiveness of marine sediment. On that basis, the influence factors of corrosion damage were discussed.

引用

页码：485 / 488

页数：4