钢材腐蚀损伤过程的元胞自动机模拟

doi:10.11902/1005.4537.2017.003

中国腐蚀与防护学报

2018, Vol. 38

Issue (1): 68-73 DOI: 10.11902/1005.4537.2017.003

本期目录 | 过刊浏览

钢材腐蚀损伤过程的元胞自动机模拟

陈梦成(

), 温清清

华东交通大学土木建筑学院南昌 330013

Cellular Automata Simulation of Corrosion Process for Steel

Mengcheng CHEN(

), Qingqing WEN

School of Civil Engineering and Architecture, East China Jiao-tong University, Nanchang 330013, China

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摘要:

采用元胞自动机方法对腐蚀环境下钢材的腐蚀行为进行了模拟,依据钢材在腐蚀环境下的实验研究结果和元胞自动机原理,定义了元胞自动机模型的局部演化规则,分别对钢材在腐蚀环境下蚀坑表面和深度腐蚀形貌发展过程进行了模拟。通过对比元胞自动机模型在不同溶液初始浓度c和溶解概率p条件下的模拟结果,确定了能够真实反映蚀坑形貌的模拟条件,并且讨论了不同的c和p对模拟形貌的影响。结果表明,随着p和c的增长,蚀坑等效半径和深度随腐蚀时间t呈现近似幂函数增长。同时,将蚀坑深度模拟结果与依据Komp提出的理论公式计算结果进行对比,符合程度非常高,验证了CA模型的可行性和正确性。

关键词 ：钢材, 腐蚀, 蚀坑形貌, 元胞自动机, 模拟

Abstract：

Cellular automata method was adopted to simulate the corrosion damage behavior of steel. According to the results of experimental study on steel in corrosive environments and the principle of cellular automata method, a local evolution rule of cellular automata was defined, and then the evolution process of corrosion morphology for a pit were simulated. By comparing the simulation results for different initial concentrations c and dissolution probability p, the real simulation condition for the corrosion pit was determined. At the same time, the influence of different initial solution concentration c and dissolution probability p on the morphology was discussed. It was shown that with the increasing initial concentration c and dissolution probability p, the equivalent radius or depth of corrosion pit presents an approximate power function of etching time t. Meanwhile, the simulation results of pit depth were compared with the theoretical prediction proposed by Komp, which showed that both results are agreeable and the proposed CA model is feasible and efficient.

Key words： steel corrosion pit morphology cellular automata simulation

收稿日期: 2017-01-06

ZTFLH:

TU503

基金资助:国家自然科学基金 (51378206和51468017)

作者简介: 作者简介陈梦成,男,1962年生,教授,博士

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引用本文:

陈梦成, 温清清. 钢材腐蚀损伤过程的元胞自动机模拟[J]. 中国腐蚀与防护学报, 2018, 38(1): 68-73.
Mengcheng CHEN, Qingqing WEN. Cellular Automata Simulation of Corrosion Process for Steel. Journal of Chinese Society for Corrosion and protection, 2018, 38(1): 68-73.

链接本文:

https://www.jcscp.org/CN/10.11902/1005.4537.2017.003 或 https://www.jcscp.org/CN/Y2018/V38/I1/68

图1 单蚀坑横向和纵向初始CA模型

图2 中心元胞r与邻居元胞δi (i=1,2,3,4)的演化关系

图3 Q235钢腐蚀后的表面蚀坑形貌

图4 蚀坑表面形貌演化

图5 蚀坑深度方向形貌演化

图6 c=0.5时溶解概率对等效半径的影响

图7 p=0.7时溶液初始浓度对等效半径的影响

图8 c=0.5时溶解概率对等效深度的影响

图9 p=0.7时溶液初始浓度对等效深度的影响

图10 不同溶液浓度下的拟合曲线

图11 不同溶解概率下的拟合曲线

表1 曲线拟合参数值

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