Structural Health Monitoring Based Time- Dependent Reliabilityanalysis of Concrete Bridge

The presence of chloride ions in concrete is the most important cause of steel reinforcing corrosion. Corrosion can lead to structural damage and needs to be managed effectively for better allocation of resources and effective bridge management. The application of de-icing salt or atmospheric exposu...

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Main Authors:	Khairul Anuar, Shahid, Mohammad Amirulkhairi, Zubir, Aizat, Alias
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/3021/ http://umpir.ump.edu.my/id/eprint/3021/2/KHAIRUL_ANUAR_SHAHID_AICCE_2012.pdf

id	ump-3021
recordtype	eprints
spelling	ump-30212018-02-19T07:17:25Z http://umpir.ump.edu.my/id/eprint/3021/ Structural Health Monitoring Based Time- Dependent Reliabilityanalysis of Concrete Bridge Khairul Anuar, Shahid Mohammad Amirulkhairi, Zubir Aizat, Alias TA Engineering (General). Civil engineering (General) The presence of chloride ions in concrete is the most important cause of steel reinforcing corrosion. Corrosion can lead to structural damage and needs to be managed effectively for better allocation of resources and effective bridge management. The application of de-icing salt or atmospheric exposure in marine environment could be the cause of corrosion initiation. This paper reviews chloride ingress prediction model and presents methodology to improve confidence in predicting corrosion concentration taking into account time dependent reliability analysis. Modeling uncertainty is often associated with limited knowledge which it can be reduced by increasing the availability of data. Additional information through bridge inspection and monitoring will increase confidence in prediction models. Monte Carlo simulation with Latin Hypercube Sampling is used to estimate prior and posterior performance prediction for chloride concentration. Bayesian Updating is used to incorporate prior beliefs about the condition and performance of the bridge together with data obtained through inspections and health monitoring to produce more quantitative data. The application of Bayesian Updating is shown to considerably reduce uncertainties associated with performance prediction. By using this approach, it will lead to the prediction of structural performance with increased confidence. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3021/2/KHAIRUL_ANUAR_SHAHID_AICCE_2012.pdf Khairul Anuar, Shahid and Mohammad Amirulkhairi, Zubir and Aizat, Alias (2012) Structural Health Monitoring Based Time- Dependent Reliabilityanalysis of Concrete Bridge. In: International Conference on Civil Engineering 2012, 28-30 August 2012 , Park Royal Penang. . (Unpublished)
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 Mohammad Amirulkhairi, Zubir Aizat, Alias Structural Health Monitoring Based Time- Dependent Reliabilityanalysis of Concrete Bridge
description	The presence of chloride ions in concrete is the most important cause of steel reinforcing corrosion. Corrosion can lead to structural damage and needs to be managed effectively for better allocation of resources and effective bridge management. The application of de-icing salt or atmospheric exposure in marine environment could be the cause of corrosion initiation. This paper reviews chloride ingress prediction model and presents methodology to improve confidence in predicting corrosion concentration taking into account time dependent reliability analysis. Modeling uncertainty is often associated with limited knowledge which it can be reduced by increasing the availability of data. Additional information through bridge inspection and monitoring will increase confidence in prediction models. Monte Carlo simulation with Latin Hypercube Sampling is used to estimate prior and posterior performance prediction for chloride concentration. Bayesian Updating is used to incorporate prior beliefs about the condition and performance of the bridge together with data obtained through inspections and health monitoring to produce more quantitative data. The application of Bayesian Updating is shown to considerably reduce uncertainties associated with performance prediction. By using this approach, it will lead to the prediction of structural performance with increased confidence.
format	Conference or Workshop Item
author	Khairul Anuar, Shahid Mohammad Amirulkhairi, Zubir Aizat, Alias
author_facet	Khairul Anuar, Shahid Mohammad Amirulkhairi, Zubir Aizat, Alias
author_sort	Khairul Anuar, Shahid
title	Structural Health Monitoring Based Time- Dependent Reliabilityanalysis of Concrete Bridge
title_short	Structural Health Monitoring Based Time- Dependent Reliabilityanalysis of Concrete Bridge
title_full	Structural Health Monitoring Based Time- Dependent Reliabilityanalysis of Concrete Bridge
title_fullStr	Structural Health Monitoring Based Time- Dependent Reliabilityanalysis of Concrete Bridge
title_full_unstemmed	Structural Health Monitoring Based Time- Dependent Reliabilityanalysis of Concrete Bridge
title_sort	structural health monitoring based time- dependent reliabilityanalysis of concrete bridge
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/3021/ http://umpir.ump.edu.my/id/eprint/3021/2/KHAIRUL_ANUAR_SHAHID_AICCE_2012.pdf
first_indexed	2023-09-18T21:57:02Z
last_indexed	2023-09-18T21:57:02Z
_version_	1777414148025483264

Structural Health Monitoring Based Time- Dependent Reliabilityanalysis of Concrete Bridge

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