Structural Health Monitoring Based Predictive Model of Concrete Bridge

Reinforced concrete bridge is widely used nowadays in most modern small bridges because of in situ reinforced concrete construction which has the great advantage and simplicity. However, bridges possess high risk attack by corrosion by chloride ingress due to de-icing salt. The salt contains high le...

Full description

Bibliographic Details
Main Authors: Khairul Anuar, Shahid, Norhaiza, Ghazali, Mohd Arif, Sulaiman
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8626/
http://umpir.ump.edu.my/id/eprint/8626/1/Structural_Health_Monitoring_Based_Predictive_Model_of_Concrete_Bridge.pdf
id ump-8626
recordtype eprints
spelling ump-86262018-05-03T07:13:22Z http://umpir.ump.edu.my/id/eprint/8626/ Structural Health Monitoring Based Predictive Model of Concrete Bridge Khairul Anuar, Shahid Norhaiza, Ghazali Mohd Arif, Sulaiman TA Engineering (General). Civil engineering (General) Reinforced concrete bridge is widely used nowadays in most modern small bridges because of in situ reinforced concrete construction which has the great advantage and simplicity. However, bridges possess high risk attack by corrosion by chloride ingress due to de-icing salt. The salt contains high level of chloride. The presence of chloride ions in concrete will cause corrosion initiation to reinforcement bar embedded inside the concrete. Thus, it will leads to severe structural damaged. Reinforced concrete bridge need to be manage effectively for better allocation of resources and serve based on it intended design. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8626/1/Structural_Health_Monitoring_Based_Predictive_Model_of_Concrete_Bridge.pdf Khairul Anuar, Shahid and Norhaiza, Ghazali and Mohd Arif, Sulaiman (2014) Structural Health Monitoring Based Predictive Model of Concrete Bridge. In: Proceedings of the 2nd International Conference On Green Technology & Ecosystems for Global Sustainable Development 2014, 24-25 November 2014 , Putrajaya. pp. 1-9..
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
Mohd Arif, Sulaiman
Structural Health Monitoring Based Predictive Model of Concrete Bridge
description Reinforced concrete bridge is widely used nowadays in most modern small bridges because of in situ reinforced concrete construction which has the great advantage and simplicity. However, bridges possess high risk attack by corrosion by chloride ingress due to de-icing salt. The salt contains high level of chloride. The presence of chloride ions in concrete will cause corrosion initiation to reinforcement bar embedded inside the concrete. Thus, it will leads to severe structural damaged. Reinforced concrete bridge need to be manage effectively for better allocation of resources and serve based on it intended design.
format Conference or Workshop Item
author Khairul Anuar, Shahid
Norhaiza, Ghazali
Mohd Arif, Sulaiman
author_facet Khairul Anuar, Shahid
Norhaiza, Ghazali
Mohd Arif, Sulaiman
author_sort Khairul Anuar, Shahid
title Structural Health Monitoring Based Predictive Model of Concrete Bridge
title_short Structural Health Monitoring Based Predictive Model of Concrete Bridge
title_full Structural Health Monitoring Based Predictive Model of Concrete Bridge
title_fullStr Structural Health Monitoring Based Predictive Model of Concrete Bridge
title_full_unstemmed Structural Health Monitoring Based Predictive Model of Concrete Bridge
title_sort structural health monitoring based predictive model of concrete bridge
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/8626/
http://umpir.ump.edu.my/id/eprint/8626/1/Structural_Health_Monitoring_Based_Predictive_Model_of_Concrete_Bridge.pdf
first_indexed 2023-09-18T22:06:24Z
last_indexed 2023-09-18T22:06:24Z
_version_ 1777414736981262336