基于靈敏度分析的供水管網(wǎng)模型多目標校核
發(fā)布時間:2019-04-13 16:45
【摘要】:運用全局靈敏度分析方法(Sobol’法)對供水管網(wǎng)模型中的管道摩阻進行靈敏度分析,選取靈敏度較大的管道進行參數(shù)校核,并以實際給水管網(wǎng)為實例進行自動校核工作.校核結(jié)果表明,利用Sobol’法求得管道靈敏度后,只校核靈敏度較高的管段摩阻,減少了決策變量的個數(shù),大大降低了校核時間,運用精英型非支配排序的多目標優(yōu)化算法(NSGA-Ⅱ算法)進行求解,提高了校核效率,達到了預(yù)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,
本文編號: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,
本文編號:2457757
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