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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(4): 436-443 ISSN: 2010-3697
DOI: 10.7763/IJMO.2012.V2.159

Modeling of Corrosion Degradation for PCCP for Condition Monitoring Simulation Using Equivalent Circuit and Artificial Neural Networks (A Simulation Study in GMRA)

Youssef Hamad Shakmak and Saleh Hussein Awami

Abstract—There are many methods for inspecting corrosion interaction in objects. Some of these methods are known as the Non-Destructive Test (NDT) which uses a successful approach to monitor materials without harming the objects. In this paper, corrosion degradation is modeled and simulated by using equivalent electrical circuit. The components of the designed equivalent circuit contain resistances and coils related to the condition of the wire used in the Pre-stressed Concrete Cylinder Pipe (PCCP). The change of the resistance value, self and mutual inductance due to the certain wire loop is related to the change of the wire diameter which changes due to the corrosion. These changed factors change the pattern and the value of the exciter current. The fault resulted by simulated model is inspected using Artificial Neural Networks (ANN) through monitoring of the exciter current changes. PCCP is modeled as equivalent electrical circuit based on Dave’s model which was developed in Queen University. Different techniques of calculations of the model components were used in the work which gives better results and different view than the one given by Dave. The simulation of proposed approach of this work gave a good solution to the corrosion degradation that related to the number of broken wires in PCCP. That can be modeled and can be detected by using ANN system for monitoring of the exciter current. The system is able to detect the severity of the fault by finding the approximate number of broken wires and their location in the tube. In this work, MATLAB as a technical scientific language were used to build the simulated system and to monitor it using a proper designed ANN system. The study shows that a simple method for modeling the data of corrosion the wires of PCCP and the possibility of monitoring these changing by monitoring the change of the exciter parameters values changes. The method shown in this study makes it possible to simulate the PCCP for different condition ranging from perfect case to sever defected cases. Many patterns were generated by simulating the model at different conditions of the pipe, then recognized as perfect case (no defect or free corrosion) or defected case (corrosion or broken wires). Pipe parameters of the type of Embedded Cylinder Pipe (ECP) are used for large diameter PCCP for condition monitoring simulation which was designed by the Great Man-Made Rive Project (GMRP).

Index Terms—PCCP inspection; PCCP modeling and simulation; NDT; ANN; PCCP condition monitoring, eddy current, GMRA.

N. Nower is with the Institute of Information Technology, University of Dhaka, Dhaka, Bangladesh (e-mail: naushin@iit.du.ac.bd).
A. Raja Chowdhury is with the Department of Computer Science and Engineering, University of Dhaka, Dhaka, Bangladesh (e-mail: farhan717@cse.univdhaka.edu).
F. A. is with the National Institute of Standards and Technology, Boulder, CO 80305 USA (e-mail: author@ boulder.nist.gov).
S. B. Jr., was with Rice University, Houston, TX 77005 USA. He is now with the Department of Physics, Colorado State University, Fort Collins, CO 80523 USA (e-mail: author@lamar. colostate.edu).
T. C. is with the Electrical Engineering Department, University of Colorado, Boulder, CO 80309 USA, on leave from the National Research Institute for Metals, Tsukuba, Japan (e-mail: author@nrim.go.jp).


Cite: Youssef Hamad Shakmak and Saleh Hussein Awami, "Modeling of Corrosion Degradation for PCCP for Condition Monitoring Simulation Using Equivalent Circuit and Artificial Neural Networks (A Simulation Study in GMRA)," International Journal of Modeling and Optimization vol. 2, no. 4, pp. 436-443, 2012.

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