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dc.contributor.author
Kielhauser, Clemens
dc.contributor.author
Adey, Bryan T.
dc.date.accessioned
2017-10-23T09:14:41Z
dc.date.available
2017-07-18T09:16:03Z
dc.date.available
2017-07-18T11:37:17Z
dc.date.available
2017-07-18T11:40:33Z
dc.date.available
2017-10-23T09:14:41Z
dc.date.issued
2017-06-29
dc.identifier.uri
http://hdl.handle.net/20.500.11850/171368
dc.identifier.doi
10.3929/ethz-b-000171368
dc.description.abstract
The determination of optimal intervention programs for municipal infrastructure networks, such as road, gas and water distribution networks is a challenging task. To find optimal intervention programs, it is necessary to take into consideration not only 1) the costs of interventions in terms of owner costs, but also 2) the potential loss of service both before, during and after the execution of the interventions, e.g. a failure due to differential loading of underground of pipes, and 3) the costs due to the loss of service when interventions are being executed, e.g. the consequences related to falls in water pressure or the consequences of a stoppage of electric current. As municipalities consist of multiple overlapping networks, it is also necessary to take into consideration that: 1) reductions in costs of intervention are possible when interventions are executed on multiple networks simultaneously, e.g. the replacement of the water and sewer pipes under one road are lower if they are done together than separately because the road only has to be opened once, and 2) interventions on one network can increase the probability of failure of another network, e.g. a backhoe can accidentally hit the water distribution pipe if it is being used to remove the soil necessary to excavate the gas pipe. In this paper, a methodology is presented that can be used to determine optimal intervention programs for multiple urban infrastructure networks simultaneously, taking into consideration these issues. Special emphasis is made on the new generic model for loss of service that can be used for all networks. The methodology is then critically discussed and recommendations for future work are given.
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.subject
Urban Infrastructure
en_US
dc.subject
Networks
en_US
dc.subject
Optimisation
en_US
dc.subject
Level of Service
en_US
dc.subject
Maintenance
en_US
dc.title
A Methodology to Determine Optimal Intervention Programs for Multiple Urban Infrastructure Networks with a Consistent Representation of Service Levels
en_US
dc.type
Conference Paper
ethz.journal.volume
2nd
en_US
ethz.event
2nd International Symposium on Infrastructure Asset Management - SIAM 2017
en_US
ethz.event.location
Zurich Switzerland
en_US
ethz.event.date
June 29-30, 2017
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
unpublished
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02604 - Inst. für Bau- & Infrastrukturmanagement / Inst. Construction&Infrastructure Manag.::03859 - Adey, Bryan T. / Adey, Bryan T.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH::02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH
*
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02604 - Inst. für Bau- & Infrastrukturmanagement / Inst. Construction&Infrastructure Manag.::03859 - Adey, Bryan T. / Adey, Bryan T.
en_US
ethz.date.deposited
2017-07-18T09:16:04Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.exportRequired
true
ethz.COinS
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