Steel structures exposed to the sulfate corrosive environment for a long time will inevitably suffer random corrosion damage, which will lead to uncertain degradation in the mechanical properties of materials and structures. The safety and reliability assessments of corroded steel structures largely depend on the quantification of corrosion characteristics. In order to investigate the corrosion features of structural steel under sulfate attack, six batches of accelerated corrosion experiments were conducted on 18 steel specimens. The surface morphologies of all corroded coupons were first measured by a 3D surface profilometer, and then the surface parameters were calculated/extracted and analyzed by a self-written analysis algorithm to clarify the distribution characteristics and evolution laws of corrosion depth, pit depth, and pit shape. The results revealed that the corrosion form of structural steel under sulfate attack was a rather uneven general corrosion, which exhibited the intersection of general corrosion and pits. The corrosion depth obeyed a normal distribution, and its average value, standard deviation, and the power spectrum peak increased as the corrosion age increased. The depth and aspect ratio of corrosion pits were both in accord with the lognormal distribution and showed the increasing and decreasing trend with the corrosion time going on, respectively. Additionally, the probabilities of different pit shapes in different depth ranges were obtained, in which cone pits accounted for the largest proportion, and the pits gradually changed from cylindrical and hemispherical to conical with the increase of pit depth. In the end, the random models for corrosion depth and pits were established based on the statistical results, which realized the reconstruction and random modeling of corrosion characteristics of structural steel under sulfate attack.
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1 November 2021
Research Article|
August 09 2021
Stochastic Modeling of Corroded Surface Features of Structural Steel Under Sulfate Attack
Youde Wang;
Youde Wang
‡
*Postdoctoral Innovation Base, Xi’an University of Architecture and Technology & Shaanxi Non-ferrous Construction Co., Ltd., No.289 Xiying Road, Xi’an 710061, China.
**China and Key Lab of Engineering Structural Safety and Durability, Xi’an University of Architecture & Technology, No.13 Yanta Road, Xi’an, Shaanxi 710055, China.
‡Corresponding author. E-mail: [email protected].
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Xiaodong Zhou;
Xiaodong Zhou
***School of Civil Engineering, Xi’an University of Architecture & Technology, No.13 Yanta Road, Xi’an, Shaanxi 710055, China.
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Shanhua Xu
Shanhua Xu
***School of Civil Engineering, Xi’an University of Architecture & Technology, No.13 Yanta Road, Xi’an, Shaanxi 710055, China.
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‡Corresponding author. E-mail: [email protected].
Online ISSN: 1938-159X
Print ISSN: 0010-9312
© 2021, AMPP
2021
CORROSION (2021) 77 (11): 1148–1163.
Citation
Youde Wang, Xiaodong Zhou, Shanhua Xu; Stochastic Modeling of Corroded Surface Features of Structural Steel Under Sulfate Attack. CORROSION 1 November 2021; 77 (11): 1148–1163. https://doi.org/10.5006/3842
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