Consequence-based management of North American railroad bridge networks enabled by wireless smart Sensors

F. Moreit, B. F. Spencer, D. A. Foutch, S. Scola

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationTransforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016
EditorsAjith K. Parlikad, Jennifer M. Schooling, Kenichi Soga, R.J. Mair, Ying Jin
PublisherICE Publishing
Pages687-692
Number of pages6
ISBN (Electronic)9780727761279
DOIs
StatePublished - Jan 1 2016
Event2016 International Conference on Smart Infrastructure and Construction, ICSIC 2016 - Cambridge, United Kingdom
Duration: Jun 27 2016Jun 29 2016

Publication series

NameTransforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016

Other

Other2016 International Conference on Smart Infrastructure and Construction, ICSIC 2016
CountryUnited Kingdom
CityCambridge
Period6/27/166/29/16

Fingerprint

Railroad bridges
Smart sensors
Repair
Railroads
Costs
Risk assessment
Profitability
Inspection

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

Cite this

Moreit, F., Spencer, B. F., Foutch, D. A., & Scola, S. (2016). Consequence-based management of North American railroad bridge networks enabled by wireless smart Sensors. In A. K. Parlikad, J. M. Schooling, K. Soga, R. J. Mair, & Y. Jin (Eds.), Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016 (pp. 687-692). (Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016). ICE Publishing. https://doi.org/10.1680/tfitsi.61279.687

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 proceedingConference contribution

Moreit, F, Spencer, BF, Foutch, DA & Scola, S 2016, Consequence-based management of North American railroad bridge networks enabled by wireless smart Sensors. in AK Parlikad, JM Schooling, K Soga, RJ Mair & Y Jin (eds), Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016. Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016, ICE Publishing, pp. 687-692, 2016 International Conference on Smart Infrastructure and Construction, ICSIC 2016, Cambridge, United Kingdom, 6/27/16. https://doi.org/10.1680/tfitsi.61279.687
Moreit F, Spencer BF, Foutch DA, Scola S. Consequence-based management of North American railroad bridge networks enabled by wireless smart Sensors. In Parlikad AK, Schooling JM, Soga K, Mair RJ, Jin Y, editors, Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016. 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). https://doi.org/10.1680/tfitsi.61279.687
Moreit, F. ; Spencer, B. F. ; Foutch, D. A. ; Scola, S. / Consequence-based management of North American railroad bridge networks enabled by wireless smart Sensors. Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016. editor / Ajith K. Parlikad ; Jennifer M. Schooling ; Kenichi Soga ; R.J. Mair ; Ying Jin. ICE Publishing, 2016. pp. 687-692 (Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016).
@inproceedings{2cb46e64bf7e4b09a55b1ec422ad7283,
title = "Consequence-based management of North American railroad bridge networks enabled by wireless smart Sensors",
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.",
author = "F. Moreit and Spencer, {B. F.} and Foutch, {D. A.} and S. Scola",
year = "2016",
month = "1",
day = "1",
doi = "10.1680/tfitsi.61279.687",
language = "English (US)",
series = "Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016",
publisher = "ICE Publishing",
pages = "687--692",
editor = "Parlikad, {Ajith K.} and Schooling, {Jennifer M.} and Kenichi Soga and R.J. Mair and Ying Jin",
booktitle = "Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016",

}

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.

UR - http://www.scopus.com/inward/record.url?scp=84987629343&partnerID=8YFLogxK

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 -