加速腐蚀环境下钢板表面坑蚀形貌统计规律
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国家自然科学基金(51378417)


Statistical regularity of surface pitting morphology of steel in accelerated corrosion environment
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National Natural Science Foundation of China (No. 51378417)

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    摘要:

    采用光学表面测量技术对实验室加速腐蚀钢板试件进行坑蚀表面数据采集,通过建立不同龄期的锈蚀钢板表面形貌图讨论了锈蚀钢板表面点蚀特征随腐蚀时间的变化趋势。对于以局部腐蚀为主的锈蚀钢板,通过计算证明坑蚀平均深度近似等于腐蚀平均深度,且其随时间的变化趋势可以采用新型weibull函数加以描述。经过对垂直于钢板受力方向的坑蚀截面损失率进行探究,指出可以利用正态分布模型表征其随机分布规律,并建立了模型参数与坑蚀平均深度之间关系式。最后讨论了与腐蚀时间相关的钢板屈服强度退化概率模型。

    Abstract:

    We used the optical surface measurement technology to collect the pitting surface data of steel plate specimens subjected to laboratory accelerated corrosion, and discussed on trends of pitting characteristics with the increase of corrosion time by establishing 3D contour pictures of surface data of corroded steel with different corrosion time. For the corroded steel plate mainly with local corrosion, calculations showed that the average depth of pitting corrosion was approximately equal to the average depth of corrosion, and the tendency of the average depth of pitting corrosion with time could be described by a new Weibull function. The pitting section loss ratio, which was perpendicular to the force direction of steel plate, showed a normal distribution, and the relationship between the model parameters and the average depth of pitting corrosion was established. The probabilistic yield strength deterioration model relating to the corrosion ratio was discussed.

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王皓,徐善华,苏磊.加速腐蚀环境下钢板表面坑蚀形貌统计规律[J].土木与环境工程学报(中英文),2016,38(1):23-29. Wang Hao, Xu Shanhua, Su Lei. Statistical regularity of surface pitting morphology of steel in accelerated corrosion environment[J]. JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING,2016,38(1):23-29.10.11835/j. issn.1674-4764.2016.01.004

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  • 收稿日期:2015-08-25
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  • 在线发布日期: 2016-03-01
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