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

Jin Hyuk Lee; Kyung Hwa Cha; Sang Mi Ahn; Jung Sik Kong

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

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

School of Civil, Environmental and Architectural Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IABSE Conference, Vancouver 2017
Subtitle of host publication	Engineering the Future - Report
Publisher	International Association for Bridge and Structural Engineering (IABSE)
Pages	300-303
Number of pages	4
ISBN (Electronic)	9783857481536
Publication status	Published - 2017
Event	39th IABSE Symposium in Vancouver 2017: Engineering the Future - Vancouver, Canada Duration: 2017 Sept 21 → 2017 Sept 23

Publication series

Name	IABSE Conference, Vancouver 2017: Engineering the Future - Report
Volume	109

Other

Other	39th IABSE Symposium in Vancouver 2017: Engineering the Future
Country/Territory	Canada
City	Vancouver
Period	17/9/21 → 17/9/23

Bibliographical note

Funding Information:
This research was supported by a grant ? ? ?SCIPA ? ? ? from Smart Civil Infrastructure Research Program funded by Ministry of Land 唀 Infrastructure and Transport ?MOLIT ? of Korea government and Korea Agency for Infrastructure Technology Advancement ?KAIA 缃?

Funding Information:
This research was supported by a grant(13SCIPA01) from Smart Civil Infrastructure Research Program funded by Ministry of Land, Infrastructure and Transport(MOLIT) of Korea government and Korea Agency for Infrastructure Technology Advancement(KAIA).

Publisher Copyright:
© 2018 Ingenta.

Keywords

Bayesian
Bridge
Decision-making
Inspection
Maintenance
Uncertainty
Updating

ASJC Scopus subject areas

Building and Construction
Civil and Structural Engineering

Cite this

Updating life-cycle performance model of bridge based on inspection data. / Lee, Jin Hyuk; Cha, Kyung Hwa; Ahn, Sang Mi et al.
IABSE Conference, Vancouver 2017: Engineering the Future - Report. International Association for Bridge and Structural Engineering (IABSE), 2017. p. 300-303 (IABSE Conference, Vancouver 2017: Engineering the Future - Report; Vol. 109).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, JH, Cha, KH, Ahn, SM & Kong, JS 2017, Updating life-cycle performance model of bridge based on inspection data. in IABSE Conference, Vancouver 2017: Engineering the Future - Report. IABSE Conference, Vancouver 2017: Engineering the Future - Report, vol. 109, 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.

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note = "Funding Information: This research was supported by a grant ? ? ?SCIPA ? ? ? from Smart Civil Infrastructure Research Program funded by Ministry of Land 唀 Infrastructure and Transport ?MOLIT ? of Korea government and Korea Agency for Infrastructure Technology Advancement ?KAIA 缃? Funding Information: This research was supported by a grant(13SCIPA01) from Smart Civil Infrastructure Research Program funded by Ministry of Land, Infrastructure and Transport(MOLIT) of Korea government and Korea Agency for Infrastructure Technology Advancement(KAIA). Publisher Copyright: {\textcopyright} 2018 Ingenta.; 39th IABSE Symposium in Vancouver 2017: Engineering the Future ; Conference date: 21-09-2017 Through 23-09-2017",

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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.

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KW - Decision-making

KW - Inspection

KW - Maintenance

KW - Uncertainty

KW - Updating

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T2 - 39th IABSE Symposium in Vancouver 2017: Engineering the Future

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ER -

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

Abstract

Publication series

Other

Bibliographical note

Keywords

ASJC Scopus subject areas

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