Abstract
North American railroads are exploring means to improve the management of their bridge networks to increase overall profitability. Current maintenance, repair, and replacement (MRR) decisions are informed by bridge inspections and ratings, which recommend observing the response of bridges under trains. However, an objective relationship between bridge responses, bridge service state condition, and the associated impact to railroad operations has yet to be established. If the consequences of MRR decisions could be better determined, then the railroads could more cost-efTectively allocate their limited resources. This paper develops an approach for consequence- based management of railroad bridge networks, adopted from the field of seismic risk assessment, for making MRR decisions on a network-wide basis. The proposed framework employs fragility curves to relate service condition limit-states to transverse displacement caused by traffic. The operational costs associated with these service conditions can be used to estimate the total costs of a given MRR policy. In this way, optimum MRR decisions minimize the total network costs. Additionally, measured bridge data can be used to update periodically the fragilities. This framework provides a consistent approach for the prioritization of railroad bridge MRR decisions.
| Original language | English (US) |
|---|---|
| Title of host publication | Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016 |
| Editors | Ajith K. Parlikad, Jennifer M. Schooling, Kenichi Soga, R.J. Mair, Ying Jin |
| Publisher | ICE Publishing |
| Pages | 687-692 |
| Number of pages | 6 |
| ISBN (Electronic) | 9780727761279 |
| DOIs | |
| State | Published - Jan 1 2016 |
| Event | 2016 International Conference on Smart Infrastructure and Construction, ICSIC 2016 - Cambridge, United Kingdom Duration: Jun 27 2016 → Jun 29 2016 |
Publication series
| Name | Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016 |
|---|
Other
| Other | 2016 International Conference on Smart Infrastructure and Construction, ICSIC 2016 |
|---|---|
| Country | United Kingdom |
| City | Cambridge |
| Period | 6/27/16 → 6/29/16 |
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ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
Cite this
Consequence-based management of North American railroad bridge networks enabled by wireless smart Sensors. / Moreit, F.; Spencer, B. F.; Foutch, D. A.; Scola, S.
Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016. ed. / Ajith K. Parlikad; Jennifer M. Schooling; Kenichi Soga; R.J. Mair; Ying Jin. ICE Publishing, 2016. p. 687-692 (Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Consequence-based management of North American railroad bridge networks enabled by wireless smart Sensors
AU - Moreit, F.
AU - Spencer, B. F.
AU - Foutch, D. A.
AU - Scola, S.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - North American railroads are exploring means to improve the management of their bridge networks to increase overall profitability. Current maintenance, repair, and replacement (MRR) decisions are informed by bridge inspections and ratings, which recommend observing the response of bridges under trains. However, an objective relationship between bridge responses, bridge service state condition, and the associated impact to railroad operations has yet to be established. If the consequences of MRR decisions could be better determined, then the railroads could more cost-efTectively allocate their limited resources. This paper develops an approach for consequence- based management of railroad bridge networks, adopted from the field of seismic risk assessment, for making MRR decisions on a network-wide basis. The proposed framework employs fragility curves to relate service condition limit-states to transverse displacement caused by traffic. The operational costs associated with these service conditions can be used to estimate the total costs of a given MRR policy. In this way, optimum MRR decisions minimize the total network costs. Additionally, measured bridge data can be used to update periodically the fragilities. This framework provides a consistent approach for the prioritization of railroad bridge MRR decisions.
AB - North American railroads are exploring means to improve the management of their bridge networks to increase overall profitability. Current maintenance, repair, and replacement (MRR) decisions are informed by bridge inspections and ratings, which recommend observing the response of bridges under trains. However, an objective relationship between bridge responses, bridge service state condition, and the associated impact to railroad operations has yet to be established. If the consequences of MRR decisions could be better determined, then the railroads could more cost-efTectively allocate their limited resources. This paper develops an approach for consequence- based management of railroad bridge networks, adopted from the field of seismic risk assessment, for making MRR decisions on a network-wide basis. The proposed framework employs fragility curves to relate service condition limit-states to transverse displacement caused by traffic. The operational costs associated with these service conditions can be used to estimate the total costs of a given MRR policy. In this way, optimum MRR decisions minimize the total network costs. Additionally, measured bridge data can be used to update periodically the fragilities. This framework provides a consistent approach for the prioritization of railroad bridge MRR decisions.
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UR - http://www.scopus.com/inward/citedby.url?scp=84987629343&partnerID=8YFLogxK
U2 - 10.1680/tfitsi.61279.687
DO - 10.1680/tfitsi.61279.687
M3 - Conference contribution
AN - SCOPUS:84987629343
T3 - Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016
SP - 687
EP - 692
BT - Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016
A2 - Parlikad, Ajith K.
A2 - Schooling, Jennifer M.
A2 - Soga, Kenichi
A2 - Mair, R.J.
A2 - Jin, Ying
PB - ICE Publishing
ER -