Computationally Efficient Modeling Method for Large Water Network Analysis
Computationally Efficient Modeling Method for Large Water Network Analysis
复制标题
大型供水管网分析的计算高效建模方法
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
D. Savić
中科院分区：
文献类型：
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作者：
O. Giustolisi;D. Laucelli;L. Berardi;D. Savić
AbstractToday，前所未有的计算能力的台式个人计算机和高效的计算方法，如全球梯度算法（GGA），使大型配水系统建模可行。然而，许多网络分析应用程序（如优化模型）需要使用修改的输入参数运行大量的水力模拟。因此，需要一种方法，可以减少网络分析的计算负担，并仍然提供所需的模型精度。本文提出了一种矩阵变换的方法来转换经典的GGA，这是广泛使用的免费EPANET 2内实现的，到一个计算效率更高的增强型全局梯度算法（EGGA）。后者通过变换原始网络模型的拓扑表示来减小数学问题的大小，从而提高了效率。通过从原始拓扑表示中删除串行节点和串行管段，同时...
AbstractNowadays, the unprecedented computing power of desktop personal computers and efficient computational methodologies such as the global gradient algorithm (GGA) make large water-distribution-system modeling feasible. However, many network analysis applications, such as optimization models, require running numerous hydraulic simulations with modified input parameters. Therefore, a methodology that can reduce the computational burden of network analysis and still provide the required model accuracy is needed. This paper presents a matrix transformation approach to convert the classic GGA, which is implemented within the widely available freeware EPANET 2, into a more computationally efficient enhanced global gradient algorithm (EGGA). The latter achieves improved efficiency by reducing the size of the mathematical problem through the transformed topological representation of the original network model. By removing serial nodes and serial pipe sections from the original topological representation whil...