Abstract The atmospheric corrosion of metallic materials causes great economic loss every year worldwide. Thus, it is meaningful to predict the corrosion loss in different field environments. Generally, the corrosion prediction method includes three parts of work: the modelling of the corrosive environment, the calibration of the corrosion effects, and the establishment of the corrosion kinetics. This paper gives an overview of the existing methods as well as promising tools and technologies which can be used in corrosion prediction. The basic corrosion kinetic model is the power function model and it is accurate for short-term corrosion process. As for the long-term corrosion process, the general linear models are more appropriate as they consider the protective effect of the corrosion products. Most corrosion effect models correlate the environmental variables, which are characterized by the annual average value in most cases, with corrosion parameters by linear equations which is known as the dose-response function. Apart from these conventional methods, some mathematical and numerical methods are also appropriate for corrosion prediction. The corrosive environment can be described by statistical distributions, time-varying functions and even geographic information system (GIS), while the corrosion effect can be captured via response surface models and statistical learning methods.

中文翻译：

---

大气腐蚀预测：综述

摘要 金属材料的大气腐蚀每年在世界范围内造成巨大的经济损失。因此，预测不同现场环境下的腐蚀损失具有重要意义。通常，腐蚀预测方法包括三部分工作：腐蚀环境的建模、腐蚀效应的标定和腐蚀动力学的建立。本文概述了现有方法以及可用于腐蚀预测的有前景的工具和技术。基本的腐蚀动力学模型是幂函数模型，对于短期腐蚀过程是准确的。对于长期腐蚀过程，考虑腐蚀产物的保护作用，一般线性模型更为合适。大多数腐蚀效应模型通过线性方程将环境变量（在大多数情况下以年平均值为特征）与腐蚀参数相关联，这被称为剂量响应函数。除了这些常规方法外，一些数学和数值方法也适用于腐蚀预测。腐蚀环境可以通过统计分布、时变函数甚至地理信息系统（GIS）来描述，而腐蚀效应可以通过响应面模型和统计学习方法来捕捉。一些数学和数值方法也适用于腐蚀预测。腐蚀环境可以通过统计分布、时变函数甚至地理信息系统（GIS）来描述，而腐蚀效应可以通过响应面模型和统计学习方法来捕捉。一些数学和数值方法也适用于腐蚀预测。腐蚀环境可以通过统计分布、时变函数甚至地理信息系统（GIS）来描述，而腐蚀效应可以通过响应面模型和统计学习方法来捕捉。