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...
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2014
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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 |
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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 |