Port 1002-4972 2025 9 38 46 article Corrosion model of steel component for port engineering under coupled effect of erosion and rusting 内河大水位变幅区域内港口工程钢构件受到水流冲刷、泥沙冲击等作用，导致钢构件表面涂层破坏严重，涂层发生局部破坏后钢构件直接裸露在潮湿环境之中，使大水位变幅区域成为内河港口钢构件锈蚀最严重的区域，严重威胁码头结构的承载能力和使用安全。为了有效模拟并预测该区域钢构件锈蚀特征，结合内河环境作用等级开展针对内河港工钢构件的水沙冲蚀-钢材锈蚀循环交替加速劣化试验。通过分析不同冲-锈时间、不同冲蚀角度、不同循环次数下钢试件腐蚀试验数据，建立综合室内及现场数据的水工钢构件腐蚀模型。结果表明：可通过水沙冲蚀-钢材锈蚀试验模拟内河大水位变幅区域钢构件锈蚀状态；大水位变幅区域内钢构件从上到下锈蚀深度增加，循环次数越多锈蚀越严重；大水位变幅区域内钢构件正常服役年限远低于设计使用年限。 In areas with significant water level fluctuations in inland rivers,steel components of port engineering are subjected to the effects of water flow scouring and sediment impact,leading to severe damage of surface coatings on steel components.Once local coating failure occurs,the steel components are directly exposed to the humid environment,making significant water level fluctuation regions become the most severely corroded areas for steel structures in inland river ports,which poses a serious threat to the bearing capacity and operational safety of wharf structures.To effectively simulate and predict the corrosion characteristics of steel components in these regions,we conduct an accelerated cyclic deterioration test combining water-sediment scouring and steel corrosion,taking into account the environmental grade of inland rivers.By analyzing corrosion test data of steel specimens under different scour-corrosion time,erosion angles,and cycle numbers,we develop a corrosion model for hydraulic steel components,incorporating both laboratory and field data.The results show that the water-sediment scouring and steel corrosion tests can simulate the corrosion state of steel components in regions with significant water level fluctuations.Corrosion depth of steel components in such regions increases from top to bottom,and the corrosion becomes more severe with more cycles.The normal service life of steel components in these regions is far shorter than their designed service life. 大水位变幅区；钢构件；腐蚀；锈蚀预测模型 large water level fluctuation region;steel component;corrosion;rusting prediction model 代　川,吴林键,刘明维,祖福兴,纪旭东,胡　珍,张斯琪 DAI Chuan, WU Linjian, LIU Mingwei, ZU Fuxing, JI Xudong, HU Zhen, ZHANG Siqi https://www.sygc.com.cn/sygcen/article/abstract/20250906