Mathematical Modelling for the Concrete Corrosion of Sewer Systems

Jiang, G; Liu, Y; Li, X; Sun, X

Mathematical Modelling for the Concrete Corrosion of Sewer Systems

Jiang, G Liu, Y Li, X

Sun, X

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Publisher:: Springer
Publication Type:: Chapter
Citation:: Microbiologically Influenced Corrosion of Concrete Sewers: Mechanisms, Measurements, Modelling and Control Strategies, 2023, pp. 159-181
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Jiang, G
dc.contributor.author	Liu, Y
dc.contributor.author	Li, X https://orcid.org/0000-0003-1768-9556
dc.contributor.author	Sun, X
dc.date.accessioned	2023-09-30T20:59:58Z
dc.date.available	2023-09-30T20:59:58Z
dc.date.issued	2023-01-01
dc.identifier.citation	Microbiologically Influenced Corrosion of Concrete Sewers: Mechanisms, Measurements, Modelling and Control Strategies, 2023, pp. 159-181
dc.identifier.isbn	978-3-031-29940-7
dc.identifier.uri	http://hdl.handle.net/10453/172411
dc.description.abstract	Concrete corrosion in sewer systems is a complicated and dynamic process that involves wastewater, head gas, and concrete surfaces. The key process is the biological sulfide oxidation by corrosion microbial communities in the corrosion layer. Mathematical models are practically useful in designing new concrete sewer systems meeting the service life, or in planning the sewer rehabilitation and chemical dosing by estimating the corrosion rates. Theoretically, various corrosion models can also be employed to optimize the design of corrosion-resistant concrete or sewer operation. This chapter provides a review of models for the sulfide oxidation kinetics and different types of models for the service life, including corrosion initiation time and corrosion rate. As corrosion rate is the determining factor for concrete sewer service life, various models were discussed for its estimation, including empirical models, data-driven models, and process dynamic models. These mathematical modelling tools would enable better design, construction, operation, and management of sewer systems.
dc.format.extent	12
dc.language	en
dc.publisher	Springer
dc.relation.ispartof	Microbiologically Influenced Corrosion of Concrete Sewers: Mechanisms, Measurements, Modelling and Control Strategies
dc.relation.ispartofseries	Engineering Materials
dc.relation.isbasedon	10.1007/978-3-031-29941-4_8
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Mathematical Modelling for the Concrete Corrosion of Sewer Systems
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	recently_added	*
pubs.consider-herdc	false
dc.date.updated	2023-09-30T20:59:57Z
pubs.place-of-publication	Switzerland
pubs.publication-status	Published
dc.location	Switzerland

Abstract:

Concrete corrosion in sewer systems is a complicated and dynamic process that involves wastewater, head gas, and concrete surfaces. The key process is the biological sulfide oxidation by corrosion microbial communities in the corrosion layer. Mathematical models are practically useful in designing new concrete sewer systems meeting the service life, or in planning the sewer rehabilitation and chemical dosing by estimating the corrosion rates. Theoretically, various corrosion models can also be employed to optimize the design of corrosion-resistant concrete or sewer operation. This chapter provides a review of models for the sulfide oxidation kinetics and different types of models for the service life, including corrosion initiation time and corrosion rate. As corrosion rate is the determining factor for concrete sewer service life, various models were discussed for its estimation, including empirical models, data-driven models, and process dynamic models. These mathematical modelling tools would enable better design, construction, operation, and management of sewer systems.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/172411