A Bayesian Approach for Structural Health Monitoring of Concrete Bridge

Chloride attack from de-icing salt during winter may diffuse through the concrete cover and corrosion will initiate in concrete bridge when the chloride concentration exceed the threshold value. It may lead to loss of strength and unserviceability of the bridge. Structural health monitoring system (...

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Main Authors:	Khairul Anuar, Shahid, Norhaiza, Ghazali, Khairunisa, Muthusamy
Format:	Conference or Workshop Item
Language:	English
Published:	2015
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/10904/ http://umpir.ump.edu.my/id/eprint/10904/ http://umpir.ump.edu.my/id/eprint/10904/1/A%20Bayesian%20Approach%20for%20Structural%20Health%20Monitoring%20of%20Concrete%20Bridge.pdf

id	ump-10904
recordtype	eprints
spelling	ump-109042018-05-15T08:06:06Z http://umpir.ump.edu.my/id/eprint/10904/ A Bayesian Approach for Structural Health Monitoring of Concrete Bridge Khairul Anuar, Shahid Norhaiza, Ghazali Khairunisa, Muthusamy TA Engineering (General). Civil engineering (General) Chloride attack from de-icing salt during winter may diffuse through the concrete cover and corrosion will initiate in concrete bridge when the chloride concentration exceed the threshold value. It may lead to loss of strength and unserviceability of the bridge. Structural health monitoring system (SHMS) is used to monitor the corrosion process of reinforcement and has been actively developed recently. However, the monitoring system is subjected to uncertainties associated with material, environmental load and structural effects. Hence the need for probabilistic analysis expressing life cycle performance in a reliability format. Modelling uncertainty is often associated with limited knowledge which can be reduced by increasing the availability of data. In this study, a method is developed to improve confidence in predicting corrosion concentration with taking into account time dependent reliability analysis. Bayesian updating method is used to update belief by taking into account the prior belief given the likelihood that such event is known. Monte Carlo simulation is used to calculate the probability of failure for annual increment over the life time of the structure based on multiple observations. It is found that by using Bayesian updating, uncertainty of the posterior model is reduced hence increased confidence in predicting future performance of the concrete bridge 2015 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/10904/1/A%20Bayesian%20Approach%20for%20Structural%20Health%20Monitoring%20of%20Concrete%20Bridge.pdf Khairul Anuar, Shahid and Norhaiza, Ghazali and Khairunisa, Muthusamy (2015) A Bayesian Approach for Structural Health Monitoring of Concrete Bridge. In: Proceedings of International Conference on Architecture, Structure and Civil Engineering (ICASCE'15), 7-8 September 2015 , Antalya, Turkey. pp. 25-30.. http://dx.doi.org/10.17758/UR.U0915310
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Khairul Anuar, Shahid Norhaiza, Ghazali Khairunisa, Muthusamy A Bayesian Approach for Structural Health Monitoring of Concrete Bridge
description	Chloride attack from de-icing salt during winter may diffuse through the concrete cover and corrosion will initiate in concrete bridge when the chloride concentration exceed the threshold value. It may lead to loss of strength and unserviceability of the bridge. Structural health monitoring system (SHMS) is used to monitor the corrosion process of reinforcement and has been actively developed recently. However, the monitoring system is subjected to uncertainties associated with material, environmental load and structural effects. Hence the need for probabilistic analysis expressing life cycle performance in a reliability format. Modelling uncertainty is often associated with limited knowledge which can be reduced by increasing the availability of data. In this study, a method is developed to improve confidence in predicting corrosion concentration with taking into account time dependent reliability analysis. Bayesian updating method is used to update belief by taking into account the prior belief given the likelihood that such event is known. Monte Carlo simulation is used to calculate the probability of failure for annual increment over the life time of the structure based on multiple observations. It is found that by using Bayesian updating, uncertainty of the posterior model is reduced hence increased confidence in predicting future performance of the concrete bridge
format	Conference or Workshop Item
author	Khairul Anuar, Shahid Norhaiza, Ghazali Khairunisa, Muthusamy
author_facet	Khairul Anuar, Shahid Norhaiza, Ghazali Khairunisa, Muthusamy
author_sort	Khairul Anuar, Shahid
title	A Bayesian Approach for Structural Health Monitoring of Concrete Bridge
title_short	A Bayesian Approach for Structural Health Monitoring of Concrete Bridge
title_full	A Bayesian Approach for Structural Health Monitoring of Concrete Bridge
title_fullStr	A Bayesian Approach for Structural Health Monitoring of Concrete Bridge
title_full_unstemmed	A Bayesian Approach for Structural Health Monitoring of Concrete Bridge
title_sort	bayesian approach for structural health monitoring of concrete bridge
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/10904/ http://umpir.ump.edu.my/id/eprint/10904/ http://umpir.ump.edu.my/id/eprint/10904/1/A%20Bayesian%20Approach%20for%20Structural%20Health%20Monitoring%20of%20Concrete%20Bridge.pdf
first_indexed	2023-09-18T22:11:03Z
last_indexed	2023-09-18T22:11:03Z
_version_	1777415029727952896

A Bayesian Approach for Structural Health Monitoring of Concrete Bridge

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