Prediction of air-water two-phase flow frictional pressure loss in pressurized tunnels and pipelines is essentially in the design of proper hydraulic structures and pump systems. In the present study artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are employed to predict pressure loss in air-water two-phase slug flow. Adaptive particle swarm optimization (APSO) is also applied to optimize the results of the ANN and ANFIS models. To predict the pressure loss in two-phase flow, the frictional pressure loss coefficient needs to be determined with respect to the effective dimensionless parameters including two-phase flow Froude and Weber numbers and the air concentration. Laboratory test results are used to determine and validate the findings of this study. The performances of the ANN-APSO and ANFIS-APSO models are compared with those of the ANN and ANFIS models. Different comparison criteria are used to evaluate the performances of developed models, suggesting that all the models successfully determine the air-water two-phase slug flow pressure loss coefficient. However, the ANFIS-APSO performs better than other models. Good agreement is obtained between estimated and measured values, indicating that the APSO with a conjugated ANFIS model successfully estimates the air-water two-phase slug flow pressure loss coefficient as a complex hydraulic problem. Results suggest that the proposed models are more accurate compared to former empirical correlations in the literature.

压力隧道和管道中空气-水两相流的摩擦压力损失的预测主要在于设计适当的水力结构和泵系统。在本研究中，人工神经网络（ANN）和自适应神经模糊推理系统（ANFIS）被用来预测气水两相段塞流中的压力损失。自适应粒子群优化（APSO）也可用于优化ANN和ANFIS模型的结果。为了预测两相流中的压力损失，需要针对有效的无量纲参数确定摩擦压力损失系数，该有效无量纲参数包括两相流弗洛德和韦伯数以及空气浓度。实验室测试结果用于确定和验证这项研究的结果。将ANN-APSO和ANFIS-APSO模型的性能与ANN和ANFIS模型的性能进行比较。不同的比较标准被用来评估已开发模型的性能，表明所有模型都成功地确定了空气-水两相段塞流量压力损失系数。但是，ANFIS-APSO的性能优于其他模型。估算值与实测值之间取得了良好的一致性，这表明具有共轭ANFIS模型的APSO成功地将气水两相段塞流量压力损失系数估算为一个复杂的水力问题。结果表明，与文献中以前的经验相关性相比，所提出的模型更为准确。不同的比较标准被用来评估已开发模型的性能，表明所有模型都成功地确定了空气-水两相段塞流量压力损失系数。但是，ANFIS-APSO的性能优于其他模型。估算值与实测值之间取得了良好的一致性，这表明具有共轭ANFIS模型的APSO成功地将气水两相段塞流量压力损失系数估算为一个复杂的水力问题。结果表明，与文献中以前的经验相关性相比，所提出的模型更为准确。不同的比较标准被用来评估已开发模型的性能，表明所有模型都成功地确定了空气-水两相段塞流量压力损失系数。但是，ANFIS-APSO的性能优于其他模型。估算值与实测值之间取得了良好的一致性，这表明具有共轭ANFIS模型的APSO成功地将气水两相段塞流量压力损失系数估算为一个复杂的水力问题。结果表明，与文献中以前的经验相关性相比，所提出的模型更为准确。估算值与实测值之间取得了良好的一致性，这表明具有共轭ANFIS模型的APSO成功地将气水两相段塞流量压力损失系数估算为一个复杂的水力问题。结果表明，与文献中以前的经验相关性相比，所提出的模型更为准确。估算值与实测值之间取得了良好的一致性，这表明具有共轭ANFIS模型的APSO成功地将气水两相段塞流量压力损失系数估算为一个复杂的水力问题。结果表明，与文献中以前的经验相关性相比，所提出的模型更为准确。