Aeration scouring is currently the most common membrane fouling control technology. The optimization of aeration parameters, such as the aeration aperture, aeration pore spacing, and aerator layout height, can improve the efficiency of aeration and reduce the energy consumption of aeration. However, the simulation results cannot guide engineering practices well due to the limitations in the model precision of computational fluid dynamics. On this basis, the study compared and selected the computational fluid dynamics turbulence model. The DES model was used to study the influence of aeration parameters on membrane fouling control. The study showed that the DES turbulence model had a higher precision and accuracy in predicting the average shear force and the instantaneous shear force distribution on the membrane surface than the k-ε turbulence model. The average error of the DES turbulence model simulation of a bubble height was only 1.33%, which was 14.33% lower than the 15.66% of k-ε. An aeration pore spacing of 20 mm, a height of 100 mm, and an aeration aperture of 2.0 mm were the best layout parameters. The degree of influence of the aeration aperture, the aeration pore spacing, and the height of the aerator layout on the shear force of the membrane surface decreased sequentially. The influence of each interaction on the average shear force of the membrane surface was negligible. Among these parameters, the main reason for the membrane surface shear force was the change in the flow velocity caused by aeration. By calculating the fitting equation and the critical value of the shear force, the critical value of the liquid velocity on the membrane surface that could remove membrane fouling was 0.232 m/s. Although the numerical simulation and optimization of a flat membrane bioreactor air scouring for membrane fouling control were carried out with pure water, it still plays a significant impact on the actual membrane fouling control. These results could guide the optimization design of aeration parameters for flat membrane bioreactors and provide a reference for the analysis of aeration scour control membrane pollution control research.

曝气冲刷是目前最常见的膜污染控制技术。曝气孔径、曝气孔间距、曝气器布置高度等曝气参数的优化，可以提高曝气效率，降低曝气能耗。然而，由于计算流体动力学模型精度的限制，仿真结果不能很好地指导工程实践。在此基础上，本研究对计算流体动力学湍流模型进行了比较和选择。DES模型用于研究曝气参数对膜污染控制的影响。研究表明，DES湍流模型比k-ε湍流模型在预测膜表面的平均剪切力和瞬时剪切力分布方面具有更高的精度和准确度。DES湍流模型模拟气泡高度的平均误差仅为1.33%，比k-ε的15.66%低14.33%。曝气孔间距为 20 mm，高度为 100 mm，曝气孔径为 2.0 mm 是最佳布局参数。曝气孔径、曝气孔间距、曝气器布置高度对膜面剪切力的影响程度依次减小。每次相互作用对膜表面平均剪切力的影响可以忽略不计。在这些参数中，膜面剪切力产生的主要原因是曝气引起的流速变化。通过拟合方程和剪切力临界值的计算，可以得到去除膜污染的膜表面液体流速临界值为0.232 m/s。虽然采用纯水对平板膜生物反应器空气冲刷进行膜污染控制的数值模拟和优化，但对实际膜污染控制仍具有重要影响。这些结果可以指导平板膜生物反应器曝气参数的优化设计，为曝气冲刷控制膜污染控制研究的分析提供参考。通过拟合方程和剪切力临界值的计算，可以得到去除膜污染的膜表面液体流速临界值为0.232 m/s。虽然采用纯水对平板膜生物反应器空气冲刷进行膜污染控制的数值模拟和优化，但对实际膜污染控制仍具有重要影响。这些结果可以指导平板膜生物反应器曝气参数的优化设计，为曝气冲刷控制膜污染控制研究的分析提供参考。通过拟合方程和剪切力临界值的计算，可以得到去除膜污染的膜表面液体流速临界值为0.232 m/s。虽然采用纯水对平板膜生物反应器空气冲刷进行膜污染控制的数值模拟和优化，但对实际膜污染控制仍具有重要影响。这些结果可以指导平板膜生物反应器曝气参数的优化设计，为曝气冲刷控制膜污染控制研究的分析提供参考。虽然采用纯水对平板膜生物反应器空气冲刷进行膜污染控制的数值模拟和优化，但对实际膜污染控制仍具有重要影响。这些结果可以指导平板膜生物反应器曝气参数的优化设计，为曝气冲刷控制膜污染控制研究的分析提供参考。虽然采用纯水对平板膜生物反应器空气冲刷进行膜污染控制的数值模拟和优化，但对实际膜污染控制仍具有重要影响。这些结果可以指导平板膜生物反应器曝气参数的优化设计，为曝气冲刷控制膜污染控制研究的分析提供参考。