Abstract
The capacity of a community to react and resist to an emergency situation is strictly related to the proper functioning of its own infrastructure systems. This paper proposes a simulation oriented approach to evaluate the resilience of large scale water distribution networks. The case study used in this research is the water network of a large scale virtual city. The water network is modeled using the software EPANET 2.0 with the help of an integrated Matlab toolbox. The network consists of 16000 junctions and 19000 water pipes buried under the road network of the city. A series of earthquake scenarios is applied to the water network and the damage induced by the earthquakes has been determined using fragility function. The failure of the system occurs when the water flow and the water pressure go below a certain threshold. The resilience of the network is then evaluated using two indices: (1) the number of users without water, (2) the loss of total water supply.
| Original language | English |
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| Title of host publication | 11th National Conference on Earthquake Engineering 2018, NCEE 2018 |
| Subtitle of host publication | Integrating Science, Engineering, and Policy |
| Publisher | Earthquake Engineering Research Institute |
| Pages | 5688-5699 |
| Number of pages | 11 |
| Volume | 9 |
| ISBN (Electronic) | 9781510873254 |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 11th National Conference on Earthquake Engineering 2018: Integrating Science, Engineering, and Policy, NCEE 2018 - Los Angeles, United States Duration: 25 Jun 2018 → 29 Jun 2018 |
Conference
| Conference | 11th National Conference on Earthquake Engineering 2018: Integrating Science, Engineering, and Policy, NCEE 2018 |
|---|---|
| Country/Territory | United States |
| City | Los Angeles |
| Period | 25/06/18 → 29/06/18 |
Funding
The research leading to these results has received funding from the European Research Council under the Grant Agreement n? ERC_IDEAL RESCUE_637842 of the project IDEAL RESCUE-Integrated Design and Control of Sustainable Communities during Emergencies.