Neural network analysis for corrosion of steel in concrete
IR@CECRI: CSIR-Central Electrochemical Research Institute, Karaikudi
View Archive Info| Field | Value | |
| Title |
Neural network analysis for corrosion of steel
in concrete
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| Creator |
Thirumalai, P.
Ravi, R. Parthiban, G.T. Srinivasan, S. Ramakrishnan, K.R. Raghavan, M. |
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| Subject |
Corrosion Science and Engineering
Electrochemical Instrumentation |
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| Description |
Corrosion of the steel embedded in concrete plays a vital role in the determination of life
and durability of the concrete structures. Several researchers have studied the corrosion behaviour
of the embedded steel and the different types of protective measures that are available to
control the corrosion. However, little work has been done to recognize, identify the performance
andpred ict the behaviour of the steel over a long term. Hence, this work concentrates on
recognizing the behavioural pattern of the embedded steel and predicting its potential characteristics
using artificial neural network (since the potential of the embedded steel is used to
determine whether the steel is corroding or not as per ASTM C 876-91).
A systematic study to develop a suitable method that can accept, analyze and evaluate
experimental data that are at random and/or influenced by external, unpredictable variables
has been carriedout, using the back propagation method. This methodis fast andis able
to produce an output that has minimum error for this experimental setup. This has resulted
in the development of back propagation neural network, that can train and test the system,
to calculate the specified parameter for different conditions and recognize the behavioural pattern.
Using this methodology, the corrosion of the steel embedded in concrete is analyzed and
it is observed that the error encountered is only about 5% for the predictions made from the
analysis.
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| Publisher |
Elsevier
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| Date |
2005
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://cecri.csircentral.net/29/1/020-2005.pdf
Thirumalai, P. and Ravi, R. and Parthiban, G.T. and Srinivasan, S. and Ramakrishnan, K.R. and Raghavan, M. (2005) Neural network analysis for corrosion of steel in concrete. Corrosion Science, 47. pp. 1625-1642. |
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| Relation |
http://cecri.csircentral.net/29/
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