Simulation of Pitting Corrosion Under Stress Based on Cellular Automata and Finite Element Method

IF 1.5 4区 材料科学 Q3 ENGINEERING, MECHANICAL
Ying Wang, Haoran Shi
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引用次数: 0

Abstract

Abstract A new cellular automaton (CA) program was written in Python language to simulate the random pitting evolution process, which can not only obtain a variety of different corrosion products but also obtain a variety of common corrosion morphologies on the surface of metal pipes, bridge steel members, etc. In addition, commercial finite element (FE) software ABAQUS was redeveloped using Python scripting language, and the FE mesh with the same size as the cellular mesh was established based on the consistent mesh algorithm, which ensured the efficiency and accuracy of the cyclic iterative algorithm. The stress and strain fields were calculated in real-time by applying the force load, the dissolution probability parameter P was updated in Python according to the force-chemical coupling model, and a new corrosion morphology was obtained in Python. At the same time, the birth and death element method was applied in ABAQUS to kill the corrosion elements in this iterative step simultaneously, and the new stress-strain field was recalculated in ABAQUS. The established consistent grid modeling strategy and cyclic iterative algorithm can significantly improve the solving efficiency of pitting evolution under the coupled action of corrosive medium and load. The results show that the stress concentration caused by pit expansion and the corrosion acceleration effect dominated by plastic deformation will promote each other, leading to the continuous growth of pitted pits. The established modeling strategy and cyclic iterative algorithm can significantly improve the solving efficiency of pitting evolution under the coupled action of corrosive medium and load.
基于元胞自动机和有限元法的应力作用下点蚀模拟
摘要采用Python语言编写了一种新的元胞自动机(CA)程序来模拟随机点蚀演化过程,该程序不仅可以获得金属管道、桥梁钢构件等表面多种不同的腐蚀产物,还可以获得金属管道、桥梁钢构件等表面多种常见的腐蚀形态。此外,利用Python脚本语言重新开发了商用有限元软件ABAQUS,并基于一致网格算法建立了与元胞网格大小相同的有限元网格,保证了循环迭代算法的效率和精度。通过施加力载荷实时计算应力场和应变场,根据力-化学耦合模型在Python中更新溶解概率参数P,并在Python中得到新的腐蚀形态。同时,在ABAQUS中应用生灭元法对该迭代步骤中的腐蚀单元进行同步杀死,并在ABAQUS中重新计算新的应力-应变场。所建立的一致网格建模策略和循环迭代算法可以显著提高腐蚀介质和载荷耦合作用下的点蚀演化求解效率。结果表明:由坑扩展引起的应力集中与以塑性变形为主的腐蚀加速效应相互促进,导致坑状坑的持续生长;所建立的建模策略和循环迭代算法可以显著提高腐蚀介质和载荷耦合作用下的点蚀演化求解效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
30
审稿时长
4.5 months
期刊介绍: Multiscale characterization, modeling, and experiments; High-temperature creep, fatigue, and fracture; Elastic-plastic behavior; Environmental effects on material response, constitutive relations, materials processing, and microstructure mechanical property relationships
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