Performance‐based optimal design and rehabilitation of water distribution networks using life cycle costing

Performance‐based optimal design and rehabilitation of water distribution networks using life cycle costing
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DOI:
10.1029/2006wr005316
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发表时间:
2008-01
影响因子:
5.4
通讯作者:
Nirmal Jayaram;Nirmal Jayaram;K. Srinivasan
Nirmal Jayaram;Nirmal Jayaram;K. Srinivasan
中科院分区:
地球科学1区
文献类型:
--
作者:
Nirmal Jayaram;Nirmal Jayaram;K. Srinivasan

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以管网寿命周期费用最小化和管网性能最大化为目标,提出了一种新的多目标优化设计与改造方法。寿命周期成本被认为包括管道的初始成本、用新管道更换旧管道的成本、现有管道的清洁和内衬成本、管道破裂的预期修理成本以及更换管道的残值。在这项研究中提出的性能指标是一个修改的弹性指数,以适应应用于供水管网与多个来源。提出了一种新的启发式方法来获得设计和修复问题的解决方案。这种启发式方法涉及选择各种设计和康复方案的基础上,在网络性能的改进,以迭代的方式相比,在生命周期成本的变化实施的替代品。从启发式方法获得的解决方案被用作多目标,非支配排序遗传算法(NSGA-II)的初始种群集的一部分,以改善搜索过程。使用一个样本配水管网,修正后的弹性指数建议是一个很好的指标的不确定性处理能力的网络。
A new multiobjective formulation is proposed for the optimal design and rehabilitation of a water distribution network, with minimization of life cycle cost and maximization of performance as objectives. The life cycle cost is considered to comprise the initial cost of pipes, the cost of replacing old pipes with new ones, the cost of cleaning and lining existing pipes, the expected repair cost for pipe breaks, and the salvage value of the pipes that are replaced. The performance measure proposed in this study is a modification to the resilience index to suit application to water distribution networks with multiple sources. A new heuristic method is proposed to obtain the solution for the design and rehabilitation problem. This heuristic method involves selection of various design and rehabilitation alternatives in an iterative manner on the basis of the improvement in the network performance as compared to the change in the life cycle cost on implementation of the alternatives. The solutions obtained from the heuristic method are used as part of the initial population set of the multiobjective, nondominated sorting genetic algorithm (NSGA‐II) in order to improve the search process. Using a sample water distribution network, the modified resilience index proposed is shown to be a good indicator of the uncertainty handling ability of the network.