Prediction of Corrosion Rates in Structural Steel Using Artificial Neural Networks
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 2
Abstract
A phenomenal outcome for the prediction of corrosion in steel was proposed with the learning ability of artificial neural network using MATLAB software. The prediction of corrosion rate has become an important challenge for the Indian steel industry as well as for the engineering community. This paper presents the studies carried out towards the prediction of corrosion rates by using artificial neural networks (ANN), in which training of 406 sets of data using Levenberg-Marquardt algorithm obtained from experimental data. The training sets have been developed for three levels of corrosion such as mild, moderate and severe through ANN and resulted in a trend of an incremental parabolic curve. The input parameters considered were equivalent to simulate corrosion of structural steel exposed to atmospheric, marine or chemical environment. The correlation statistics (R) in ANN has proved to be 90%. The test results have been validated to confirm the efficacy of developed ANN model for prediction of corrosion rate.
Authors and Affiliations
Sharon John, Umesha P. K, Cinitha A, M. G. Rajendran
Keywords
Related Articles
- EP ID EP19585
- DOI -
- Views 261
- Downloads 5
slugA Novel Approach for the Development of Metadata Editors in Web-based Applications
Metadata is the data about data which describes how and when particular data was collected and how the data should be formatted. Metadata Standards that support a number of defined functions, and specify elements which...
Implementation Paper of Result Alert System
The development of mobile network communication system, users have been proposed with lots of services such as ability to send SMS, Video, Data files, Images etc. This process described the implementation of the result...
Achieving High Data Rates with Diversity Techniques in LTE
Orthogonal Frequency Division Multiple Access (OFDMA) is a technology for higher date rates in next generation of wireless communication standards. Efficient diversity in frequency selective channels improves data rates...
Computational Fluid Dynamics Analysis of Single Pass Shell & Tube Heat Exchanger with Different Orientation of Baffles and Without Baffles
In this specific project an endeavor is design for CFD evaluation of Single Pass Shell & Tube Heat Exchanger with Different Orientation of Baffles and Without Baffles with counter flow of fluid. In order to research the...
Design, Analysis & Power Generation through Axis Wind Turbine
This project produces an investigational exploration of a Savonius rotor wind turbine adapted for household electricity generation. The design process and justification of the new machine will be described. The innovati...