Monte Carlo Simulation Method for Pit Erosion Process of Cable Wire Based on Bi-plane Cellular Automata

被引:3
|
作者
Guo, Zeng-wei [1 ]
Chen, Hanlin [1 ]
机构
[1] Chongqing Jiaotong Univ, State Key Lab Mt Bridge & Tunnel Engn, 66 Xuefu Rd, Chongqing 400074, Peoples R China
基金
中国国家自然科学基金;
关键词
Cable; Pitting; Cellular automata; Pit shape and size; Monte Carlo simulation; PITTING CORROSION; STEEL; MODEL;
D O I
10.1007/s13296-020-00387-5
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper proposed a new probabilistic Bi-plane cellular automaton (CA) model to simulate the localized pitting corrosion of stayed cables. The CA model introduced chloride ions and their evolution rules to take into account the local acidification catalysis is in microscopic scale. Besides, a Monte Carlo approach is adopted to analyze the statistical properties of corrosion pit size and their variation with respect to time. The proposed CA model is confirmed by several published experiments on pitting corrosion. It is capable to reproduce the experimental observations and enlarge the sample space for subsequent mechanical analysis.
引用
收藏
页码:1527 / 1539
页数:13
相关论文
共 14 条
  • [11] Hybrid particle-based approach for the simulation of semiconductor devices: The full-band cellular automaton/Monte Carlo method
    Saraniti, M
    Wigger, SJ
    Goodnick, SM
    TRANSPORT IN TRANSITION REGIMES, 2004, 135 : 249 - 264
  • [12] Dynamic behavior investigation of zinc vapor in the vacuum spray galvanizing process based on the direct simulation Monte Carlo method
    Lin, Enjie
    Li, Jun
    Xing, Chenyang
    Wang, Bo
    Zhang, Jieyu
    APPLIED THERMAL ENGINEERING, 2025, 266
  • [13] Risk-based determination of design pressure of LNG fuel storage tanks based on dynamic process simulation combined with Monte Carlo method
    Noh, Yeelyong
    Chang, Kwangpil
    Seo, Yutaek
    Chang, Daejun
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2014, 129 : 76 - 82
  • [14] Simulation and Analysis of Imaging Process of Phosphor Screens for X-Ray Imaging of Streak Tube Using Geant4-Based Monte Carlo Method
    Wang, Zichen
    Lin, Riyi
    Liao, Yuxiang
    Tang, Lin
    Wu, Zhenhua
    Liu, Diwei
    Zhong, Renbin
    Zhang, Kaichun
    SENSORS, 2025, 25 (03)