Abstract
For a rather complex phenomenon like MIC that not only involves the interaction bwteen lifeless elements of electrochemistry but does also involve the actvity of living things such as bacteria, it may seem too ambitious a target to be able to define a predicatble model based on mathematics. Fuzzy logic and calculations have the capability for this purpose and in this chapter we present one example of application fuzzt logic to describe/predict MIC.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Selected References
ACI 209 (1978) Prediction of creep, shrinkage and temperature effects in concrete structure. Am Concr Inst (ACI)
Ahammad SZ, Gomes J, Sreekrishnan TR (2011) A mathematical model for the interactive behavior of sulfate-reducing bacteria and methanogens during anaerobic digestion. Water Environ Res 83(9):791–801 (Sept. 2011, L, ProQuest Central, India)
Costerton JW, Lewandowski Z, Caldwell DE, Korber DR, Lappin-Scott HM (1995) Ann Rev Microbiol 49
Javaherdashti R (2000a) A modified model to predict MIC of a coated, cathodically protected underground stainless steel pipe. Nat Resour Can. www.nrcan.gc.ca/picon/confrences. 14 August 2000, Canada
Javaherdashti R (2000b) A fuzzy approach to model RISK of MIC in a cathodically-protected pipe. Anti-corrosion Methods Mater 47(3)
Javaherdashti R (2004) Modelling microbiologically influenced corrosion of N-80 carbon steel by Fuzzy calculus. Metall Mater Trans (TMS), ASM-TMS 35A
Javaherdashti R, Nwaoha C, Ebenso EE (2012) Fuzzy prediction of corrosion resistance of duplex stainless steel to biotic iron reducing bacteria and abiotic synthetic seawater environments: a phenomenological approach towards a multidisciplinary concept. Int J Electrochem Sci 7:12573–12586
Javaherdashti R, Nwaoha C, Tan H (2013) Corrosion and Materials n Ol and gas industries. CRC Press/Taylor&Francis, USA
Moura Jr JRV, Park S, Steffen Jr V, Inman DJ (2008) Proceedings of IMAC XXVI Conference & Exposition, FL, USA
Najjaran H, Sadiq R, Rajani B (2004) ACSE international conference on Pipeline engineering and construction, Pipelines, San Diego, CA, USA
Ribas Silva M, Pinheiro SMM (2007) MIC—an international perspective, Perth-Australia, 14–15 Feb 2007
Sakai E, Morioka M, Yamamoto K, Zhang X, Ohba Y, Daimon M (1995) Carbonation. J Ceram Soc Jpn 107
Salek A, Benhamou M, Chahid M (2011) Reliability approach to biological corrosion: comparison to experiment. Int J Acad Res 3(5):II Part 337–342
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Javaherdashti, R. (2017). (Mathematical) Modelling of MIC by Fuzzy Logic. In: Microbiologically Influenced Corrosion. Engineering Materials and Processes. Springer, Cham. https://doi.org/10.1007/978-3-319-44306-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-44306-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-44304-1
Online ISBN: 978-3-319-44306-5
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)