Scipediacontent: Scipediacontent moved page Draft Content 246062637 to Koseki et al 2020a

2021-02-16T11:00:28Z

Scipediacontent moved page Draft Content 246062637 to Koseki et al 2020a

Scipediacontent: Created page with " == Abstract == The damage on supply and drainage water networks is a serious cause of economic disruption for urban systems affected by earthquakes. Among various concerns,..."

2021-02-16T11:00:23Z

Created page with " == Abstract == The damage on supply and drainage water networks is a serious cause of economic disruption for urban systems affected by earthquakes. Among various concerns,..."

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== Abstract ==

The damage on supply and drainage water networks is a serious cause of economic disruption for urban systems affected by earthquakes. Among various concerns, the ruptures of sewer pipes and manholes generated by liquefaction determine a particularly severe sanitary hazard and require extensive, costly and time-consuming repairs. Quantitative risk assessment carried out with the characterisation and geographical mapping of seismic hazard, subsoil susceptibility, physical and functional vulnerability of the exposed elements, enables to estimate losses, identify weaknesses, inspire strategies to mitigate the impact of earthquakes and improve resilience. The present study deals with the physical vulnerability of sewer pipelines. Empirical fragility functions are derived from the evidences of liquefaction induced in Urayasu (Japan) by the 2011 Tohoku-Oki earthquake (Mw9.0). The spatial distribution of seismic signals, subsoil characteristics, pipes and surveyed damages are reconstructed in a GIS platform. An articulated methodology is developed to correlate variables and compensate their limited spatial correspondence, exploiting the complete coverage of the area with terrestrial settlements measured by LiDAR and their strong correlation with damage. Finally, ruptures of pipes are probabilistically quantified adopting a common liquefaction severity indicator as engineering demand parameter and measuring the efficiency of relations with statistical tests.

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/11580/77833 http://hdl.handle.net/11580/77833]

* [http://link.springer.com/content/pdf/10.1007/s10518-020-00957-2.pdf http://link.springer.com/content/pdf/10.1007/s10518-020-00957-2.pdf],
: [http://link.springer.com/article/10.1007/s10518-020-00957-2/fulltext.html http://link.springer.com/article/10.1007/s10518-020-00957-2/fulltext.html],
: [http://dx.doi.org/10.1007/s10518-020-00957-2 http://dx.doi.org/10.1007/s10518-020-00957-2] under the license http://www.springer.com/tdm

* [https://link.springer.com/article/10.1007/s10518-020-00957-2 https://link.springer.com/article/10.1007/s10518-020-00957-2],
: [https://academic.microsoft.com/#/detail/3087383814 https://academic.microsoft.com/#/detail/3087383814]

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Koseki et al 2020a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 246062637 to Koseki et al 2020a

Scipediacontent: Created page with " == Abstract == The damage on supply and drainage water networks is a serious cause of economic disruption for urban systems affected by earthquakes. Among various concerns,..."