short-paper

Seismic risk assessments of water pipelines: a case study for the city of los angeles Water system pipeline network

Authors:

Ronald T. Eguchi,

Alek HarounianAuthors Info & Claims

ARIC '20: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities

Pages 58 - 61

https://doi.org/10.1145/3423455.3430304

Published: 03 November 2020 Publication History

Abstract

Understanding the system-level risks of an infrastructure network is a critical step in developing a seismically-resilient network. In a complex seismic environment, numerous future earthquakes that have a broad range of magnitude, rupture location, and probability can affect a spatially distributed network and cause drastically different damage severity and service interruption time. Characterizing system-level risks involves the assessments of system damage potentials from all possible future earthquakes probabilistically. This paper shows a case study where system-level damage potentials for the City of Los Angeles water pipeline network were assessed using a stochastic method. The study considers both the distribution of earthquake-induced shaking and ground deformations, and the locations of the pipe network within the areas of varying shaking and ground deformation. System-level damages, including repair costs and repair time, were established at various target probability levels.

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Cited By

Gu YTu WLi QZhao TZhao DZhu SZhu J(2021)Collaboratively inspect large-area sewer pipe networks using pipe robotic capsulesProceedings of the 29th International Conference on Advances in Geographic Information Systems10.1145/3474717.3483948(211-220)Online publication date: 2-Nov-2021
https://dl.acm.org/doi/10.1145/3474717.3483948

Index Terms

Seismic risk assessments of water pipelines: a case study for the city of los angeles Water system pipeline network
1. Applied computing
  1. Physical sciences and engineering
    1. Engineering

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cover image ACM Conferences

ARIC '20: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities

November 2020

76 pages

ISBN:9781450381659

DOI:10.1145/3423455

Editors:
Bandana Kar
Oak Ridge National Laboratory, TN
,
Xinyue Ye
Texas A & M University, TX
,
Shima Mohebbi
George Mason University, VA
,
Guangtao Fu
University of Exeter, Exeter, England

Copyright © 2020 ACM.

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New York, NY, United States

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Published: 03 November 2020

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SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems

November 3, 2020

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Cited By

Gu YTu WLi QZhao TZhao DZhu SZhu J(2021)Collaboratively inspect large-area sewer pipe networks using pipe robotic capsulesProceedings of the 29th International Conference on Advances in Geographic Information Systems10.1145/3474717.3483948(211-220)Online publication date: 2-Nov-2021
https://dl.acm.org/doi/10.1145/3474717.3483948

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