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Evolutionary Computation Techniques for Predicting Atmospheric Corrosion
Joint Authors
Basalamah, Saleh
al-Ghamdi, Rami
Marref, Amine
Source
International Journal of Corrosion
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Corrosion occurs in many engineering structures such as bridges, pipelines, and refineries and leads to the destruction of materials in a gradual manner and thus shortening their lifespan.
It is therefore crucial to assess the structural integrity of engineering structures which are approaching or exceeding their designed lifespan in order to ensure their correct functioning, for example, carrying ability and safety.
An understanding of corrosion and an ability to predict corrosion rate of a material in a particular environment plays a vital role in evaluating the residual life of the material.
In this paper we investigate the use of genetic programming and genetic algorithms in the derivation of corrosion-rate expressions for steel and zinc.
Genetic programming is used to automatically evolve corrosion-rate expressions while a genetic algorithm is used to evolve the parameters of an already engineered corrosion-rate expression.
We show that both evolutionary techniques yield corrosion-rate expressions that have good accuracy.
American Psychological Association (APA)
Marref, Amine& Basalamah, Saleh& al-Ghamdi, Rami. 2013. Evolutionary Computation Techniques for Predicting Atmospheric Corrosion. International Journal of Corrosion،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-499447
Modern Language Association (MLA)
Marref, Amine…[et al.]. Evolutionary Computation Techniques for Predicting Atmospheric Corrosion. International Journal of Corrosion No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-499447
American Medical Association (AMA)
Marref, Amine& Basalamah, Saleh& al-Ghamdi, Rami. Evolutionary Computation Techniques for Predicting Atmospheric Corrosion. International Journal of Corrosion. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-499447
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499447