Non-destructive electrochemical characterizations of reinforced concrete corrosion: basic and symbolic data analysis

2012 ◽  
Vol 30 (1-2) ◽  
Author(s):  
Véronique Bouteiller ◽  
Carole Toque ◽  
Alexandre Cury ◽  
Jean-François Cherrier ◽  
Edwin Diday ◽  
...  
2013 ◽  
Vol 686 ◽  
pp. 261-265 ◽  
Author(s):  
M. Ihsan ◽  
Syarizal Fonna ◽  
M. Ridha ◽  
Syifaul Huzni ◽  
A.K. Arrifin

The corrosion of structures is needed to be identified early to prevent any severe damage of buildings. The conventional technique such as potential mapping for diagnosing of reinforced concrete corrosion has been used widely in the field. However, the method has limitation such as less accuracy, laborious and time-consuming. This study is conducted to develop boundary element method 3 dimensions by considering polarization curves of anode and cathode for corrosion simulation and analyzed the influences of anode profiles for RC corrosion simulation. In this method, the potential in concrete domain was modeled by Laplace’s equation. The anode and cathode areas were represented by each polarization curves. The numerical simulation result shows that the boundary element method 3 dimensions successfully solved the Laplace’s equation in order to simulate corrosion phenomenon of reinforced concrete. The influences of anode profiles for RC corrosion simulation have been analyzed. Further works are needed to reduce the computational effort of corrosion simulation.


2014 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Sandra Elizabeth González Císaro ◽  
Héctor Oscar Nigro

Standard data mining techniques no longer adequately represent the complexity of the world. So, a new paradigm is necessary. Symbolic Data Analysis is a new type of data analysis that allows us to represent the complexity of reality, maintaining the internal variation and structure developed by Diday (2003). This new paradigm is based on the concept of symbolic object, which is a mathematical model of a concept. In this article the authors are going to present the fundamentals of the symbolic data analysis paradigm and the symbolic object concept. Theoretical aspects and examples allow the authors to understand the SDA paradigm as a tool for mining complex data.


2003 ◽  
Vol 7 (6) ◽  
pp. 583-601 ◽  
Author(s):  
Edwin Diday ◽  
Floriana Esposito

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