Samenvatting
Modeling the performance of critical infrastructures and their interdependencies is an important task in the resilience assessment. In this paper, restoration curves for four critical lifelines (power, water, gas, telecommunication, and transportation) have been developed using a probabilistic approach. To do that, a large database on infrastructure downtime has been collected for most of the earthquakes that occurred in the past century. The restoration curves have been grouped based on the earthquake magnitude and the level of development of the country in which the earthquake occurred. The curves are presented in terms of probability of recovery and time; the longer is the time after the disaster, the higher is the probability of the infrastructure to recover its functions.
| Originele taal-2 | Engels |
|---|---|
| Titel | 11th National Conference on Earthquake Engineering 2018, NCEE 2018 |
| Subtitel | Integrating Science, Engineering, and Policy |
| Uitgeverij | Earthquake Engineering Research Institute |
| Pagina's | 2299-2310 |
| Aantal pagina's | 11 |
| Volume | 4 |
| ISBN van elektronische versie | 9781510873254 |
| Status | Gepubliceerd - 2018 |
| Extern gepubliceerd | Ja |
| Evenement | 11th National Conference on Earthquake Engineering 2018: Integrating Science, Engineering, and Policy, NCEE 2018 - Los Angeles, Verenigde Staten van Amerika Duur: 25 jun. 2018 → 29 jun. 2018 |
Congres
| Congres | 11th National Conference on Earthquake Engineering 2018: Integrating Science, Engineering, and Policy, NCEE 2018 |
|---|---|
| Land/Regio | Verenigde Staten van Amerika |
| Stad | Los Angeles |
| Periode | 25/06/18 → 29/06/18 |
Bibliografische nota
Publisher Copyright:© 2018 11th National Conference on Earthquake Engineering 2018, NCEE 2018: Integrating Science, Engineering, and Policy. All rights reserved.
Financiering
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.