Construction Research Congress 2020
Seismic Reliability Evaluation of City-Level Gas Distribution Networks Using Flow-Based Simulation Modeling
Publication: Construction Research Congress 2020: Infrastructure Systems and Sustainability
ABSTRACT
Natural gas is becoming increasingly popular across the globe due to its growing affordability and lower carbon footprint compared conventional fossil fuels. It is also suitable for distributed power generation using combined heat and power (CHP) units. The continuous functioning of a gas distribution system is therefore crucial. Majority of the studies on reliability assessment of gas networks have studied the networks in the aftermath of the earthquake using connectivity-based metrics, while this paper presents a flow-based quantification method to evaluate the reliability of city-level gas distribution networks. A representative gas distribution network is initially designed for an urban area that is prone to liquefaction. Seismic reliability of the designed network is subsequently investigated for a hazard of magnitude Mw=7. The reliability metric used in this study is the fraction of demand satisfied immediately after the seismic event. Appropriate fragility functions for various components of a gas distribution network have been identified from the literature and used in a Monte-Carlo simulation (MCS) approach for reliability assessment. A computationally efficient, physics-based linear-pressure analog (LPA) model has been developed and used to solve the steady-state flows in the gas distribution networks. The novelty of this work lies in the use of LPA model that will minimize the computational effort associated with the numerous iterations in MCS as it leverages linearized formulations of the physics-based gas network dynamics. This work provides a framework which can be used to advance the reliability assessment of city-level gas distribution networks. The framework presented in this paper can be used to improve restoration and rehabilitation strategies for gas networks in order to enhance their performance during earthquakes.
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Acknowledgments
This study is supported by National Science Foundation (NSF) under grant number CRISP-1638321. All the views and interpretations presented in the paper are of the authors and do not represent the views of NSF on the topics discussed herein.
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Published In
Construction Research Congress 2020: Infrastructure Systems and Sustainability
Pages: 390 - 398
Editors: Mounir El Asmar, Ph.D., Arizona State University, Pingbo Tang, Ph.D., Arizona State University, and David Grau, Ph.D., Arizona State University
ISBN (Online): 978-0-7844-8285-8
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© 2020 American Society of Civil Engineers.
History
Published online: Nov 9, 2020
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