基于管道阻力-流速模型的泥浆输送流速寻优方法

疏浚工程中，管道泥浆最优流速确定多依赖于经验公式，工况变化较大时预测精度不高。采用Durand模型对不同试验工况下的阻力损失进行建模，并基于试验数据对模型常数进行调整，提高Durand模型的预测精度；采用高斯过程回归方法建模，分析训练样本数量对预测结果的影响；提出一种基于管道阻力-流速模型的流速寻优方法，并进行对比试验。结果表明，使用高斯过程回归方法建立的管道阻力模型预测精度更高，可达0.97以上，并可依据管道阻力(浓度)变化实时更新临界流速，从而为疏浚管道泥浆最优流速的确定提供了一种较为有效的寻优方法。

Optimization method of slurry transportation velocity based on pipeline resistance-velocity model

In dredging engineering，determination of optimal velocity of slurry transportation usually depends on empirical formulae.Changeable working conditions lead to low prediction accuracy.This paper uses Durand model to model the resistance loss under different test conditions，and adjusts the model constants based on test data to improve prediction accuracy of Durand model.The paper uses Gaussian process regression method in the modelling，with analysis of influence of training samples numbers on prediction results.The paper proposes a velocity optimization method based on resistance-velocity model，and carries out comparative tests.The results show that prediction accuracy of pipeline resistance model established by Gaussian process regression method is higher，which can be higher than 0.97.Critical velocity can also be real-time updated in terms of changes of pipeline resistance (concentration)，providing a more effective optimization method to determine the optimal slurry velocity.