中文摘要：

本文将遗传算法和变密度各项异性湍浮力射流模型有机结合,提出了满足最佳稀释效果和最低能源消耗的射流比与射流喷角多参数多目标非线性遗传优化耦合反演的新方法：将射流模型和运行能源消耗公式嵌入到遗传算法模型中,以最佳污水稀释效果和最低能源消耗为目标,进行射流模型多参数的优化耦合反演。研究结果表明基于非线性遗传优化的多参数多目标耦合反演方法可以获得最优的射流参数,有利于提高射流水体与环境水体间的掺混效果,降低污水输送能源消耗。

英文摘要：

This paper presents a new multi-parameter and multi-object nonlinear genetic optimal coupled inversion method coupling an genetic algorithm with an anisotropic turbulent model to calculate the jet ratio and jet angle of a buoyant jet with variable density. This method considers optimal dilution effect and lowest energy consumption by embedding the jet model and operation energy consumption equation into the genetic algorithm, and obtains optimal multi-parameters through multi-object optimization. The results show that the inversion method has advantages of jet parameter optimization that enhances jet water mixing with environment water and reduces energy consumption.