水管网的计算有效抗震性优化的拓扑替代,Computer-Aided Civil and Infrastructure Engineering

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水管网的计算有效抗震性优化的拓扑替代
Computer-Aided Civil and Infrastructure Engineering ( IF 8.5 ) Pub Date : 2020-05-30 , DOI: 10.1111/mice.12566
Binaya Pudasaini ₁ , Mohsen Shahandashti ₁

Affiliation

水管网抗震性的重要性不能高估。目前缺乏用于优化城市规模水管网抗震性的方法。由于需要重复进行水力分析，因此很少有研究也可能需要较长的优化时间。因此，迫切需要确定计算上有效的替代优化方法，以使水管网的抗震性最大化。为了满足这一需求，本研究首次确定了可用于基于水力仿真的优化的计算效率高的拓扑替代方案。替代优化的计算效率是根据解决方案质量（即地震后的可服务性）和计算运行时间来衡量的。评估了十种不同的拓扑连接性指标，其中五种由于其过分的优化运行时间而在计算上不可行。然后使用剩余的五个度量标准来制定五个替代目标函数，以用于水管网的抗震性。使用基于模拟退火的算法优化了每个功能。提议的方法在城市级基准网络中的应用有助于从十分之二的指标中识别出两个指标，这些指标大大减少了优化运行时间，同时解决方案质量损失最小。这些发现对于水分配网络管理者确定合理的经济恢复政策以在合理的时间内增强城市规模的抗震能力具有非常重要的价值。

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Topological surrogates for computationally efficient seismic robustness optimization of water pipe networks

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.

更新日期：2020-05-30

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