Random Field Model of Corroded Steel Plate Surface in Neutral Salt Spray Environment

被引:0
|
作者
Kong Deliang
Nie Biao
Xu Shanhua
机构
[1] Xi’an University of Architecture & Technology,School of Civil Engineering
来源
关键词
Neutral salt spray environment; Corrosion depth; Random field; Normal distribution; Surface topography;
D O I
暂无
中图分类号
学科分类号
摘要
The random field model of corrosion depth on steel plate surface in neutral salt spray environment was investigated. 10 groups of specimens were subjected to accelerate corrosion by the neutral salt spray test, and the surface profile of corroded steel plates and the 3D data of corrosion depth were measured by three-dimensional non-contact surface topography instrument. The probability characteristics of corrosion depth were studied and the relationship between the average and the standard deviation of corrosion depth and the mass loss rate were analyzed. The corrosion depth were tested for ergodicity and stationarity and the autocorrelation function model of random field model of corrosion depth was proposed. The results of the study show that the corrosion depth on steel plate surface in neutral salt spray environment conformed to the normal distribution. With the increase of mass loss rate, the average and the standard deviation of the corrosion depth increased. The corrosion depth has ergodicity and stationarity. The random field model of cosine trigonometric function can accurately characterize the distribution of corrosion depth, which prepared the preliminary preparation for the finite element analysis of the corroded steel structure.
引用
收藏
页码:2651 / 2661
页数:10
相关论文
共 50 条
  • [41] Corrosion evolution and mechanical property deterioration of Q355NH weathering steel in long-term neutral salt spray environment
    Guo, Qi
    Wu, Zeyan
    Xing, Ying
    Lu, Yan
    Zhang, Fengxian
    Li, Weiwei
    CONSTRUCTION AND BUILDING MATERIALS, 2024, 411
  • [42] Measurement pitting morphology characteristic of corroded steel surface and fractal reconstruction model
    Ren Songbo
    Kong Chao
    Gu Ying
    Gu Song
    Zeng Shenghui
    Li Gang
    Yang Tao
    Zhao Yajie
    MEASUREMENT, 2022, 190
  • [43] Prediction model of fatigue crack propagation life of corroded steel plate considering pit characteristics
    Wu, Jiebin
    Xu, Shanhua
    Li, Anbang
    Wang, Bin
    Wang, Youde
    INTERNATIONAL JOURNAL OF FATIGUE, 2025, 190
  • [44] Stochastic Model for Surface Characterization of Structural Steel Corroded in Simulated Offshore Atmosphere
    Wang Youde
    Zhou Xiaodong
    Ma Rui
    Xu Shanhua
    ACTA METALLURGICA SINICA, 2021, 57 (06) : 811 - 821
  • [45] Seismic performance and hysteretic model of corroded steel frame columns in offshore atmospheric environment
    Zhang, Xiaohui
    Zheng, Shansuo
    Zhao, Xuran
    Yang, Qian
    ADVANCES IN STRUCTURAL ENGINEERING, 2023, 26 (16) : 3041 - 3064
  • [46] Durability of hybrid clinch-bonded steel/aluminum joints in salt spray environment
    L. Calabrese
    G. Galtieri
    C. Borsellino
    G. Di Bella
    E. Proverbio
    The International Journal of Advanced Manufacturing Technology, 2016, 87 : 3137 - 3147
  • [47] Durability of hybrid clinch-bonded steel/aluminum joints in salt spray environment
    Calabrese, L.
    Galtieri, G.
    Borsellino, C.
    Di Bella, G.
    Proverbio, E.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 87 (9-12): : 3137 - 3147
  • [48] Corrosion behavior and cellular automata simulation of carbon steel in salt-spray environment
    Hong Qin
    Jin Liu
    Qianxi Shao
    Xiqing Zhang
    Yingxue Teng
    Shuweng Chen
    Dazhen Zhang
    Shuo Bao
    npj Materials Degradation, 8
  • [49] Corrosion behavior and cellular automata simulation of carbon steel in salt-spray environment
    Qin, Hong
    Liu, Jin
    Shao, Qianxi
    Zhang, Xiqing
    Teng, Yingxue
    Chen, Shuweng
    Zhang, Dazhen
    Bao, Shuo
    NPJ MATERIALS DEGRADATION, 2024, 8 (01)
  • [50] Durability of hybrid clinch-bonded steel/aluminum joints in salt spray environment
    Galtieri, G. (ggaltieri@unime.it), 1600, Springer London (87): : 9 - 12