Prediction of Gas-Liquid Stratified Flow through Small Break at Bottom of Horizontal Pipe
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摘要: 对分层流型下破口位于水平管底部的气-液两相泄漏量进行了实验测量和理论预测研究。设计了新型破口泄漏测量装置,测试管道直径为40 mm,采用布置在管壁上的直径为2.5 mm的圆孔模拟破口,避免了传统泄漏测量装置用短管代替破口从而导致实验模拟与实际泄漏工况出现较大偏差的缺点。提取了气-液界面高度和破口两侧差压作为特征参数,构建了径向基函数神经网络,对破口质量含气率进行了预测,破口质量流量由修正的两相流孔板公式计算。实验结果表明,质量含气率及流量预测值与实验吻合良好。Abstract: The leak of a small break located at the bottom of a horizontal pipe with gas-liquid stratified flow was investigated experimentally and theoretically.A specially designed leak measurement device was developed to measure the quality and mass flux.A 2.5mm id holes placed at the pipe wall was used to simulate the small break instead of using a branch for conventional break experimental apparatus.A radical basis function（RBF） neural network was constructed for prediction of outlet quality.The gas-liquid level and pres-sure difference between the main pipe and the break were identified as two input parameters of the RBF neural network.The mass flux was calculated using a modified two-phase orifice equation.It was found the predicted values of quality and mass flow rate agreed well with the experimental data.
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Key words:
- Gas-liquid two-phase stratified flow /
- Small break /
- Leak /
- Flow rate /
- Quality /
- Neural network
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