TY - GEN

T1 - Probabilistic risk assessment of infrastructure networks subjected to hurricanes

AU - Scherb, Anke

AU - Garrè, Luca

AU - Straub, Daniel

PY - 2015

Y1 - 2015

N2 - An initial investigation towards a probabilistic risk assessment framework for infrastructure systems subjected to hurricanes is presented. An idealized probabilistic spatial-temporal hurricane model is proposed for the purpose of investigating infrastructure performance and redundancy. The investigated infrastructure is an electrical network, corresponding to a synthetic IEEE benchmark system, which is modeled by a physical power flow model. The response of the infrastructure network to hurricane events is evaluated in terms of the overall power loss, considering the power flow characteristics of the network and potential cascading failures. It is found that while the network component failure probabilities are strongly dependent on the hazard characteristics, this does not hold for the overall network damage after simulation of the cascading failures. The computed average power loss level tends to be rather insensitive to the number and combination of initially triggered network components.

AB - An initial investigation towards a probabilistic risk assessment framework for infrastructure systems subjected to hurricanes is presented. An idealized probabilistic spatial-temporal hurricane model is proposed for the purpose of investigating infrastructure performance and redundancy. The investigated infrastructure is an electrical network, corresponding to a synthetic IEEE benchmark system, which is modeled by a physical power flow model. The response of the infrastructure network to hurricane events is evaluated in terms of the overall power loss, considering the power flow characteristics of the network and potential cascading failures. It is found that while the network component failure probabilities are strongly dependent on the hazard characteristics, this does not hold for the overall network damage after simulation of the cascading failures. The computed average power loss level tends to be rather insensitive to the number and combination of initially triggered network components.

UR - http://www.scopus.com/inward/record.url?scp=84978695675&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84978695675

T3 - 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015

BT - 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015

PB - University of British Columbia

T2 - 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012

Y2 - 12 July 2015 through 15 July 2015

ER -