GUOYu-shuo,HANXiao-meng,SHUShi-hu.Corrosion Behavior of Inner Wall of Metal Water Supply Pipes and Multi-factor Prediction Model[J].China Water & Wastewater,2025,41(11):24-30.
Corrosion Behavior of Inner Wall of Metal Water Supply Pipes and Multi-factor Prediction Model
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第41卷
Number:
第11期
Page:
24-30
Column:
Date of publication:
2025-06-01
- Keywords:
- metal water supply pipe; microbiological corrosion; electrochemical corrosion; multi-factor prediction model
- Abstract:
- Metal water supply pipes constitute a significant proportion of urban water supply networks in China. Static beaker experiments and dynamic simulation experiments were carried out on gray cast iron pipes and carbon steel pipes. The corrosion degree of metal test specimens under various conditions was investigated using the weight loss method and the “image + ImageJ software” analysis approach. There was a marked disparity in the corrosion rate observed between the dynamic simulation experimental group and the static beaker experimental group. The corrosion rates varied depending on factors such as temperature, additional microbial quantity, and chemical potential. By leveraging statistical analysis and modeling techniques in conjunction with Python, multi?factor prediction models including linear regression, random forest regression, decision tree regression, and support vector machine regression were developed based on experimental data. Among the models, the random forest regression model demonstrated superior performance across all metrics, achieving a mean square error (MSE) of 74.71 and a coefficient of determination (R2) of 0.85. The decision tree regression model showed moderate performance, with a MSE of 85.62 and an R2?value of 0.82. These models help accurately predict the corrosion rate, making the prevention and maintenance work more targeted.
Last Update:
2025-06-01