{"id":11504,"date":"2018-08-23T11:07:11","date_gmt":"2018-08-23T09:07:11","guid":{"rendered":"https:\/\/www.kwrwater.nl\/actueel\/modelling-how-to-repair-distribution-networks-after-an-earthquake\/"},"modified":"2018-08-23T11:13:10","modified_gmt":"2018-08-23T09:13:10","slug":"modelling-how-to-repair-distribution-networks-after-an-earthquake","status":"publish","type":"post","link":"https:\/\/www.kwrwater.nl\/en\/actueel\/modelling-how-to-repair-distribution-networks-after-an-earthquake\/","title":{"rendered":"Modelling how to repair distribution networks after an earthquake"},"content":{"rendered":"
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Part of the WDSA \/ CCWI 2018 Joint International Conference in Ontario<\/a> was the Battle of Post-Disaster Response and Rehabilitation. Unfortunately no winner was declared, but I would like to share the solution Claudia Quintiliani and Simone Santopietro and I developed, using A Many Objective Optimization and a Greedy algorithm. You can read about or watch the eight minute video with step-by-step explanations.<\/p>\n<\/div>\n

Problem formulation<\/h2>\n

In this year\u2019s problem five different Damage Scenarios are considered in which a set of pipes in a drinking water network are either broken (require isolation and replacement), or have leakages (require only reparation). For this battle, six (6) criteria are considered in the problem formulation:<\/p>\n

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  1. Time that the hospitals (2 per scenario) and the hydrants (2 per scenario) are without supply,<\/li>\n
  2. Rapidity of recovery (time until the system recovers permanently 95% of its functionality),<\/li>\n
  3. Resilience Loss (accumulated loss of functionality = area under functionality),<\/li>\n
  4. Average time each consumer (node) is without service,<\/li>\n
  5. Number of consumers (nodes) without service for more than 8 consecutive hours, and<\/li>\n
  6. Volume of water lost during the next 7 days after the event<\/li>\n<\/ol>\n

    Here functionality is estimated as the sum of all demands of all nodes for a particular solution of a damage scenario in relation to the sum of all demands of the system when no damages have occurred, for each time step.<\/p>\n

    Solution TEAM Castro-Gama, Quintiliani & Santopietro<\/h2>\n

    The solution proposes the order in which the pipes need to be repaired by 3 different crews, for each of the Damage Scenarios.<\/p>\n

    Results for 2 different algorithms (A Many Objective Optimization and a Greedy algorithm) and 4 different preventive engineering interventions considered (increasing or decreasing pumping capacity and storage capacity) are presented in the following video together with the Methodology and proposed solution.<\/p>\n

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    Video – 08:42<\/div>\n
    Proposal for the Battle of Post-Disaster Response and Rehabilitation (BPDRR)<\/div>\n<\/div>\n
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