2019
DOI: 10.1016/j.corsci.2018.10.004
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Mechanistic microbiologically influenced corrosion modeling—A review

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Cited by 80 publications
(21 citation statements)
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“…Taleb-Berrouane et al (2018) proposed a network-based approach to analyze and predict MIC. Marciales et al (2019) summarized the mechanistic MIC models available in the public domain. They found that most of the models reviewed considered SRB as the main players in MIC, and few models considered biofilm formation and transport phenomena.…”
Section: Introductionmentioning
confidence: 99%
“…Taleb-Berrouane et al (2018) proposed a network-based approach to analyze and predict MIC. Marciales et al (2019) summarized the mechanistic MIC models available in the public domain. They found that most of the models reviewed considered SRB as the main players in MIC, and few models considered biofilm formation and transport phenomena.…”
Section: Introductionmentioning
confidence: 99%
“…In natural environments, especially which contain water, biolms are widespread containing microbial communities and EPS (extracellular polymeric substance). 1 It is widely accepted that the presence of biolm accelerates the deterioration of these materials 2,3 and this process may occur in a wide range of pipelines and is termed as Microbiologically Inuenced Corrosion (MIC). 4,5 In particular, the copper used in drinking water systems as a plumbing material due to its relatively low price and durability.…”
Section: Introductionmentioning
confidence: 99%
“…[ 4,5 ] It has been estimated that about 20–40% of corrosion damage is attributed directly or indirectly to MIC. [ 6 ] SRB were defined as the notorious corrosion‐enhancing anaerobic microorganisms that are ubiquitous in the natural environment. [ 7,8 ] MIC induced by SRB has been extensively investigated in the literature.…”
Section: Introductionmentioning
confidence: 99%