基于灵敏度分析的供水管网模型多目标校核
发布时间：2019-04-13 16:45
【摘要】：运用全局灵敏度分析方法(Sobol’法)对供水管网模型中的管道摩阻进行灵敏度分析,选取灵敏度较大的管道进行参数校核,并以实际给水管网为实例进行自动校核工作.校核结果表明,利用Sobol’法求得管道灵敏度后,只校核灵敏度较高的管段摩阻,减少了决策变量的个数,大大降低了校核时间,运用精英型非支配排序的多目标优化算法(NSGA-Ⅱ算法)进行求解,提高了校核效率,达到了预定的精度要求.
[Abstract]:The global sensitivity analysis method (Sobol' method) is used to analyze the sensitivity of pipeline friction in the model of water supply network. The pipeline with higher sensitivity is selected to check the parameters, and the actual water supply network is taken as an example to carry out the automatic check. The results show that only the friction resistance with higher sensitivity can be checked by using Sobol' method, which reduces the number of decision variables and greatly reduces the checking time. The multi-objective optimization algorithm (NSGA- 鈪，
本文编号：2457757
[Abstract]:The global sensitivity analysis method (Sobol' method) is used to analyze the sensitivity of pipeline friction in the model of water supply network. The pipeline with higher sensitivity is selected to check the parameters, and the actual water supply network is taken as an example to carry out the automatic check. The results show that only the friction resistance with higher sensitivity can be checked by using Sobol' method, which reduces the number of decision variables and greatly reduces the checking time. The multi-objective optimization algorithm (NSGA- 鈪，
本文编号：2457757
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