Seismic risk assessment of natural gas networks at the urban scale

Modern societies have shown to be heavily dependent on critical infrastructures, which provide essential services and contribute significantly to social and economic evolution. The natural gas network plays a crucial role in a post- disaster event and if damaged it can have a severe impact on recovery and ultimately on community resilience. This paper focuses on the evaluation of the seismic risk of urban natural gas networks. A physical-based model is developed to simulate the effects of the pipeline damage induced by the ground shaking and soil deformation. The gas network modeling, calibration, and flow updating are automated through a python-based simulation tool. The proposed analysis allows to estimate network damage in terms of gas leaks and pipe breaks. In addition to the inherent vulnerability of the pipelines, the dependency to the built environment is considered by removing network components that are located inside buildings with extensive to complete damage. This information is then used to identify branches that are possibly out of service and to quantify the risk in terms of users not supplied. The methodology provides an effective tool to identify the gas network vulnerabilities at the urban level and to further study countermeasures that can overall improve community resilience. • Automated method for assessing seismic vulnerability of urban natural gas networks • Network damage assessment including dependency to building damage • Physical-based method to assess leaks and breaks for each pipe segment • Estimation of out-of-service network branches and users not supplied with gas

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Publication Details

Journal
International Journal of Disaster Risk Reduction
Published
2025-05-27
DOI
https://doi.org/10.1016/j.ijdrr.2025.105606
Citations
2
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
1.91

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article

Seismic risk assessment of natural gas networks at the urban scale

Gian Paolo Cimellaro, Amir Reza Elahi, Alessandro Cardoni
2 citations
International Journal of Disaster Risk Reduction
Infrastructure Resilience and Vulnerability Analysis
1.91
article

Seismic risk assessment of natural gas networks at the urban scale

Gian Paolo Cimellaro, Amir Reza Elahi, Alessandro Cardoni
article en
2 citations

Abstract

Modern societies have shown to be heavily dependent on critical infrastructures, which provide essential services and contribute significantly to social and economic evolution. The natural gas network plays a crucial role in a post- disaster event and if damaged it can have a severe impact on recovery and ultimately on community resilience. This paper focuses on the evaluation of the seismic risk of urban natural gas networks. A physical-based model is developed to simulate the effects of the pipeline damage induced by the ground shaking and soil deformation. The gas network modeling, calibration, and flow updating are automated through a python-based simulation tool. The proposed analysis allows to estimate network damage in terms of gas leaks and pipe breaks. In addition to the inherent vulnerability of the pipelines, the dependency to the built environment is considered by removing network components that are located inside buildings with extensive to complete damage. This information is then used to identify branches that are possibly out of service and to quantify the risk in terms of users not supplied. The methodology provides an effective tool to identify the gas network vulnerabilities at the urban level and to further study countermeasures that can overall improve community resilience. • Automated method for assessing seismic vulnerability of urban natural gas networks • Network damage assessment including dependency to building damage • Physical-based method to assess leaks and breaks for each pipe segment • Estimation of out-of-service network branches and users not supplied with gas

International Journal of Disaster Risk ReductionVol. 126
Politecnico di Torino (IT)
European Research Council
Sustainable cities and communities
Openalex Percentile: Top 15%
Infrastructure Resilience and Vulnerability Analysis
1.91
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