Topological surrogates for computationally efficient seismic robustness optimization of water pipe networks
Topological surrogates for computationally efficient seismic robustness optimization of water pipe networks
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DOI：
10.1111/mice.12566
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发表时间：
2020-05
期刊：
影响因子：
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通讯作者：
B. Pudasaini;Mohsen Shahandashti
中科院分区：
文献类型：
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作者：
B. Pudasaini;Mohsen Shahandashti
供水管网抗震稳健性的重要性怎么强调都不为过。目前用于优化城市规模供水管网抗震稳健性的方法很少。由于需要反复进行水力分析，极少数研究也容易导致优化运行时间过长。因此，迫切需要确定计算效率高的替代优化方法，以最大限度地提高给水管网的抗震稳定性。为了满足这一需求，本研究首次确定了用于基于水力模拟的优化的计算高效的拓扑代理。代理优化的计算效率从解质量(即震后适用性)和计算时间两个方面进行了衡量。评估了10个不同的拓扑连通性度量，其中5个被认为在计算上是不可行的，因为它们的优化运行时间令人望而却步。然后，利用剩余的5个指标，建立了5个管网抗震稳健性的替代目标函数。这些函数中的每一个都使用基于模拟退火法的算法进行优化。将建议的方法应用于城市级基准网络，帮助确定了十个指标中的两个，这些指标可大幅缩短优化运行时间，并最大限度地降低解决方案质量损失。这些研究结果将对供水管网管理人员在合理的时间内确定经济的修复政策以增强城市规模的抗震稳健性具有很高的价值。
The criticality of seismic robustness of the water pipe networks cannot be overstated. Current methodologies for optimizing seismic robustness of city‐scale water pipe networks are scarce. A very few studies that can be found are also prone to long optimization runtimes due to the requirement of repeated hydraulic analysis. Hence, there is a critical need for the identification of computationally efficient surrogate optimization methods for maximizing seismic robustness of water pipe networks. To address this need, this research was conducted to identify, for the first time, computationally efficient topological surrogates for hydraulic simulation‐based optimization. The computational efficiency of surrogate optimization was measured in terms of solution quality (i.e., post‐earthquake serviceability) and computational runtime. Ten different topological connectivity metrics were evaluated out of which five were considered computationally infeasible due to their prohibitive optimization runtime. Five remaining metrics were then used to formulate five surrogate objective functions for seismic robustness of water pipe networks. Each of these functions was optimized using a simulated annealing‐based algorithm. Application of the proposed approach to city‐level benchmark networks helped to identify two metrics out of ten that offered a substantial reduction in optimization runtime with a minimal loss in solution quality. These findings will be highly valuable to water distribution network managers for identifying economical rehabilitation policies for enhancing the seismic robustness at a city‐scale within a reasonable amount of time.