Updating life-cycle performance model of bridge based on inspection data

Jin Hyuk Lee, Kyung Hwa Cha, Sang Mi Ahn, Jun g Sik Kong

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

1 Citation (Scopus)

Abstract

For the bridge maintenance strategy and planning, prediction of future performance based on the current performance must be required and it is possible more rational decision-making through the higher accuracy of the prediction model. While performing a detailed inspection of the entire bridge can reduce a significant part of the uncertainty, it is impossible to reduce the uncertainty of inspection result and it is always evaluated by probability. In this study, to solve this problem, a Bayesian update method is applied to the optimal maintenance strategy in Bridge Management System (BMS) considering the uncertainty of inspection data. Also, examples of application are presented, showing the effects of inspection and updating on the bridge maintenance strategies. In this study, application possibility and availability of domestic bridge management system are evaluated by referring to the proposed method in the existing trends.

Original languageEnglish
Title of host publicationIABSE Conference, Vancouver 2017
Subtitle of host publicationEngineering the Future - Report
PublisherInternational Association for Bridge and Structural Engineering (IABSE)
Pages300-303
Number of pages4
ISBN (Electronic)9783857481536
Publication statusPublished - 2017 Jan 1
Event39th IABSE Symposium in Vancouver 2017: Engineering the Future - Vancouver, Canada
Duration: 2017 Sep 212017 Sep 23

Other

Other39th IABSE Symposium in Vancouver 2017: Engineering the Future
CountryCanada
CityVancouver
Period17/9/2117/9/23

Fingerprint

Life cycle
Inspection
Decision making
Availability
Planning
Uncertainty

Keywords

  • Bayesian
  • Bridge
  • Decision-making
  • Inspection
  • Maintenance
  • Uncertainty
  • Updating

ASJC Scopus subject areas

  • Building and Construction
  • Civil and Structural Engineering

Cite this

Lee, J. H., Cha, K. H., Ahn, S. M., & Kong, J. G. S. (2017). Updating life-cycle performance model of bridge based on inspection data. In IABSE Conference, Vancouver 2017: Engineering the Future - Report (pp. 300-303). International Association for Bridge and Structural Engineering (IABSE).

Updating life-cycle performance model of bridge based on inspection data. / Lee, Jin Hyuk; Cha, Kyung Hwa; Ahn, Sang Mi; Kong, Jun g Sik.

IABSE Conference, Vancouver 2017: Engineering the Future - Report. International Association for Bridge and Structural Engineering (IABSE), 2017. p. 300-303.

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

Lee, JH, Cha, KH, Ahn, SM & Kong, JGS 2017, Updating life-cycle performance model of bridge based on inspection data. in IABSE Conference, Vancouver 2017: Engineering the Future - Report. International Association for Bridge and Structural Engineering (IABSE), pp. 300-303, 39th IABSE Symposium in Vancouver 2017: Engineering the Future, Vancouver, Canada, 17/9/21.
Lee JH, Cha KH, Ahn SM, Kong JGS. Updating life-cycle performance model of bridge based on inspection data. In IABSE Conference, Vancouver 2017: Engineering the Future - Report. International Association for Bridge and Structural Engineering (IABSE). 2017. p. 300-303
Lee, Jin Hyuk ; Cha, Kyung Hwa ; Ahn, Sang Mi ; Kong, Jun g Sik. / Updating life-cycle performance model of bridge based on inspection data. IABSE Conference, Vancouver 2017: Engineering the Future - Report. International Association for Bridge and Structural Engineering (IABSE), 2017. pp. 300-303
@inproceedings{edf9c7fe724c4e6c9671848164f83e90,
title = "Updating life-cycle performance model of bridge based on inspection data",
abstract = "For the bridge maintenance strategy and planning, prediction of future performance based on the current performance must be required and it is possible more rational decision-making through the higher accuracy of the prediction model. While performing a detailed inspection of the entire bridge can reduce a significant part of the uncertainty, it is impossible to reduce the uncertainty of inspection result and it is always evaluated by probability. In this study, to solve this problem, a Bayesian update method is applied to the optimal maintenance strategy in Bridge Management System (BMS) considering the uncertainty of inspection data. Also, examples of application are presented, showing the effects of inspection and updating on the bridge maintenance strategies. In this study, application possibility and availability of domestic bridge management system are evaluated by referring to the proposed method in the existing trends.",
keywords = "Bayesian, Bridge, Decision-making, Inspection, Maintenance, Uncertainty, Updating",
author = "Lee, {Jin Hyuk} and Cha, {Kyung Hwa} and Ahn, {Sang Mi} and Kong, {Jun g Sik}",
year = "2017",
month = "1",
day = "1",
language = "English",
pages = "300--303",
booktitle = "IABSE Conference, Vancouver 2017",
publisher = "International Association for Bridge and Structural Engineering (IABSE)",

}

TY - GEN

T1 - Updating life-cycle performance model of bridge based on inspection data

AU - Lee, Jin Hyuk

AU - Cha, Kyung Hwa

AU - Ahn, Sang Mi

AU - Kong, Jun g Sik

PY - 2017/1/1

Y1 - 2017/1/1

N2 - For the bridge maintenance strategy and planning, prediction of future performance based on the current performance must be required and it is possible more rational decision-making through the higher accuracy of the prediction model. While performing a detailed inspection of the entire bridge can reduce a significant part of the uncertainty, it is impossible to reduce the uncertainty of inspection result and it is always evaluated by probability. In this study, to solve this problem, a Bayesian update method is applied to the optimal maintenance strategy in Bridge Management System (BMS) considering the uncertainty of inspection data. Also, examples of application are presented, showing the effects of inspection and updating on the bridge maintenance strategies. In this study, application possibility and availability of domestic bridge management system are evaluated by referring to the proposed method in the existing trends.

AB - For the bridge maintenance strategy and planning, prediction of future performance based on the current performance must be required and it is possible more rational decision-making through the higher accuracy of the prediction model. While performing a detailed inspection of the entire bridge can reduce a significant part of the uncertainty, it is impossible to reduce the uncertainty of inspection result and it is always evaluated by probability. In this study, to solve this problem, a Bayesian update method is applied to the optimal maintenance strategy in Bridge Management System (BMS) considering the uncertainty of inspection data. Also, examples of application are presented, showing the effects of inspection and updating on the bridge maintenance strategies. In this study, application possibility and availability of domestic bridge management system are evaluated by referring to the proposed method in the existing trends.

KW - Bayesian

KW - Bridge

KW - Decision-making

KW - Inspection

KW - Maintenance

KW - Uncertainty

KW - Updating

UR - http://www.scopus.com/inward/record.url?scp=85050017725&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050017725&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85050017725

SP - 300

EP - 303

BT - IABSE Conference, Vancouver 2017

PB - International Association for Bridge and Structural Engineering (IABSE)

ER -