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Simulation‐Based Seismic Risk Assessment of Gas Distribution Networks
Author(s) -
Esposito Simona,
Iervolino Iunio,
d'Onofrio Anna,
Santo Antonio,
Cavalieri Francesco,
Franchin Paolo
Publication year - 2015
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/mice.12105
Subject(s) - fragility , seismic risk , seismic hazard , vulnerability (computing) , vulnerability assessment , earthquake scenario , pipeline transport , computer science , hazard , node (physics) , seismology , civil engineering , reliability engineering , engineering , geology , structural engineering , computer security , psychology , chemistry , organic chemistry , psychological resilience , environmental engineering , psychotherapist
The basic function of a gas distribution system, essentially composed of buried pipelines, reduction stations, and demand nodes, is to deliver gas from sources to end users. The objective of the article is to discuss the evaluation of seismic risk of gas networks in compliance with the performance‐based earthquake engineering framework adapted to spatially distributed systems. In particular, three issues are addressed: (1) spatial seismic hazard characterization in terms of ground shaking and permanent ground deformation; (2) analysis of system's vulnerability via fragility curves; (3) seismic performance evaluation via computer‐aided simulation. As an application, the seismic risk analysis of L'Aquila (central Italy) gas distribution network, a 621‐km mid‐ and low‐pressure pipeline system was considered. The analyses were performed with reference to the mid‐pressure part of the network, through an object‐oriented software, specific for risk assessment of lifelines, developed by the authors. Results in terms of connectivity‐based performance indicators are presented and discussed, along with a performance disaggregation analysis carried out to evaluate the contribution of the components of the system to the risk.