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A GIS-based software for lifeline reliability analysis under seismic hazard
Date
2012-05-01
Author
Kestel, Sevtap Ayşe
ODUNCUOĞLU, Lütfi
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Lifelines are vital networks, and it is important that those networks are still functional after major natural disasters such as earthquakes. Assessing reliability of lifelines requires spatial analysis of lifelines with respect to a given earthquake hazard map. In this paper, a GIS-based software for the spatial assessment of lifeline reliability which is developed by using GeoTools environment is presented. The developed GIS-based software imports seismic hazard and lifeline network layers and then creates a gridded network structure. Finally, it adopts a network reliability algorithm to calculate the upper and lower bounds for system reliability of the lifeline under seismic hazard. The software enables user visualizing the reliability values in graphical form as well as thematic lifeline reliability map with colors indicating reliability level along with the link and the overall network. It also provides functions for saving the analysis results in shape file format. The software is tested and validated for an application taken from literature which is a part of water distribution system of Bursa in Turkey. The developed GIS-based software module that creates GIS-based reliability map of the lifelines under seismic hazard is user friendly, modifiable, fast in execution time, illustrative and validated for the existing literature studies.
Subject Keywords
Lifeline reliability
,
GIS-based software
,
Lifeline reliability map
,
Seismic hazard
,
GeoTools
URI
https://hdl.handle.net/11511/31863
Journal
COMPUTERS & GEOSCIENCES
DOI
https://doi.org/10.1016/j.cageo.2012.01.015
Collections
Graduate School of Applied Mathematics, Article
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S. A. Kestel and L. ODUNCUOĞLU, “A GIS-based software for lifeline reliability analysis under seismic hazard,”
COMPUTERS & GEOSCIENCES
, pp. 37–46, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31863.