花靖,蒋秀,于超,谷成林,靳彦欣,逄铭玉

• 1:中国石油化工股份有限公司青岛安全工程研究院

摘要(Abstract)：

气液两相流持液率的精准计算对于流型识别、管道腐蚀评价与预测以及输气管道输送效率计算等方面的研究具有重要的意义。目前，国内外专家学者建立的持液率计算模型适应范围有限，缺乏一套适应于不同工况条件的持液率计算模型。本文首先统计分析了国内外不同专家学者共2 123组实验研究数据，构建了丰富的室内实验数据库；再选定支持向量机(SVM)对数据进行训练和回归预测，为了提高算法的可靠性，采用K-交叉验证(K-CV)、遗传算法(GA)以及粒子群优化算法(PSO)对SVM算法的惩罚因子c和核函数参数g寻优过程进行优化，分别建立了K-CV-SVM、GA-SVM、PSO-SVM模型，综合考虑计算精度和稳定性，最终优选了GA-SVM作为持液率计算模型的核心算法。将该模型与Eaton、BB、MB、BBE等经验关系式模型进行了计算精度对比分析，结果显示：建立的持液率计算模型在上倾管、水平管以及下倾管中都具有比经典模型更佳的计算精度。本文基于GA-SVM算法建立的持液率计算模型计算精度高、稳定性强、适应性广泛，可满足不同工况条件下持液率计算的需求。

关键词(KeyWords)： 气液两相流;持液率;管道腐蚀评价与预测;计算模型;支持向量机;K-交叉验证;遗传算法;粒子群算法

Abstract:

Keywords:

基金项目(Foundation): 国家青年科学基金项目“油气混输管道水合物沉积与剥离脱落机理研究”(51904330)

作者(Author): 花靖,蒋秀,于超,谷成林,靳彦欣,逄铭玉

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