A methodology for resilience optimisation of interdependent critical infrastructures

Many methodologies proposed in the literature for modelling and simulating the behavior of critical infrastructures (CIs) in response to disruptive events are based on exhaustive analytic models, require extensive amounts of data and suffer from high computational burden. These factors restrain their applicability in practical policy making pro- cesses, which often require higher flexibility and efficiency in the delivery of analysis and prediction results. Taking these constraints under consid- eration, in this paper we propose a novel architecture for modeling inter- connected CIs. Our analysis framework is based on a holistic approach which enables to include both intra-sectoral and cross-sectoral interde- pendencies in a consistent and unified manner, based on the concept of functional representation of interdependencies. Based on this modeling approach, we are able to assess the performance of networks of CIs from a resilience point of view. We also show the usefulness of the proposed methodology to improve the operability of the network by appropriately tuning relevant parameters of selected assets according to an optimiza- tion algorithm aiming at the improvement of the overall resilience of the CI network. This feature ultimately provides a guidance for selecting proper strategies to bound the propagation of damages among interde- pendent assets/infrastructures.

GALBUSERA Luca;  AZZINI Ivano;  GIANNOPOULOS Georgios; 

2017-01-25

Springer

JRC96144

978-3-319-33331-1,   

0302-9743,   

http://link.springer.com/chapter/10.1007%2F978-3-319-33331-1_5,    https://publications.jrc.ec.europa.eu/repository/handle/JRC96144,   

10.1007/978-3-319-33331-1_5,