【摘要】 在深水油气开采和输送过程中，管道系统中的弯管极易受到砂石冲蚀，并可能导致严重的设备故障、巨大的经济损失和环境负担。精准预测弯管冲蚀，对于减少管道故障、确保油气输送安全至关重要。该文采用CFD-DPM方法研究了弯头内高含砂量的液固两相流的冲蚀特性，采用灰色关联分析法研究了流体特性、管道尺寸及颗粒属性等因素对于冲蚀的影响程度，其排序从大到小依此为：流体速度、弯管弯曲角度、颗粒质量流量、颗粒直径、管道内径、颗粒形状系数、弯管曲率半径、流体黏度。另外，该文利用幂函数回归分析法得到了中低流速工况下更加精确的冲蚀预测模型，其平均计算误差较小，拟合程度良好。该研究成果可为深海含砂油气管道冲蚀预测和抗冲蚀设计优化提供理论指导。更多还原

【Abstract】 During deepwater oil and gas extraction and transportation, elbows in pipeline system are highly susceptible to sand erosion, which may lead to severe equipment malfunctions, considerable economic losses, and environmental burdens.Accurate prediction of elbow erosion is crucial for reducing pipeline failures and ensuring the safety of oil and gas transportation.The CFD-DPM method was used to study the erosion characteristics of liquid-solid two-phase flow with high sand content inside elbows.The influence of factors such as fluid characteristics, pipe size and particle properties on erosion was explored by grey correlation analysis, the influencing factors were ranked in descending order as follows: fluid velocity, elbow bending angle, particle mass flow rate, particle diameter, pipe diameter, particle shape coefficient, elbow curvature radius and fluid viscosity.Additionally, the more accurate erosion prediction model under low to medium flow velocity conditions was established by power function regression analysis method, with relatively small average calculation error and good fitting degree.These findings could provide theoretical guidance for erosion prediction and anti-erosion design optimization of deep-sea sand-containing oil and gas pipelines.更多还原