An Improved Atmospheric Corrosion Prediction Model Considering Various Environmental Factors

Author:

Ji Zi-Guang1,Ma Xiao-Bing1,Zhou Kun2,Cai Yi-Kun3

Affiliation:

1. School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing, China 100191.

2. Southwest Institute of Technology and Engineering, Chongqing, China 400039.

3. School of Aeronautic Science and Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing, China 100191.

Abstract

There are obvious differences in the corrosion process of materials in different climatic regions, and it is of great significance to establish the corrosion process model considering the effects of environmental factors to improve environmental adaptability. However, many existing models do not take comprehensive environmental factors into account, and the selection of environmental factors in these corrosion models is not sufficiently investigated. Meanwhile, the comparison of models is also based on goodness-of-fit. In order to improve the atmospheric corrosion prediction model and use an improved method to judge the suitable model instead of traditional goodness-of-fit, this paper first studies the effects of various atmospheric environment factors on corrosion loss. Then a corrosion prediction model considering the influence of various atmospheric environment factors is proposed, and the fitting effect is compared with the previous model with experimental data. Considering that the best fitting cannot guarantee the best prediction, a new criterion of model selection is also proposed for corrosion model confirmation. Corrosion prediction results reveal that the proposed model is more effective than the existing models. Finally, the influence of the environmental factors on the model output is discussed by sensitivity analysis.

Publisher

NACE International

Subject

General Materials Science,General Chemical Engineering,General Chemistry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3