Advances in Corrosion Modelling

This book is devoted to explaining advanced modelling practices of corrosion management. The eleven expert-authored chapters cover various aspects of corrosion management, from the basics of corrosion and its underlying definitions and concepts to the use of specific methods such as fuzzy logic or T...

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Autor Corporativo: SpringerLink (Online service)
Outros autores: Javaherdashti, Reza (Editor)
Formato: Electrónico eBook
Idioma:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edición:1st ed. 2024.
Series:Engineering Materials,
Subjects:
Acceso en liña:https://doi.org/10.1007/978-3-031-60358-7
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505 0 |a 1 Introduction -- 2 Basics of corrosion -- 3 Simulation of Cathodic Protection of Buried Steel Pipeline under coating disbondments -- 4 Numerical Modelling of CP Systems for Marine Offshore Structures -- 5 Advances in Use of Internal Corrosion Predictive Modelling on Buried Oil & Gas Pipelines. 
520 |a This book is devoted to explaining advanced modelling practices of corrosion management. The eleven expert-authored chapters cover various aspects of corrosion management, from the basics of corrosion and its underlying definitions and concepts to the use of specific methods such as fuzzy logic or TRIZ (Russian: Theory of Inventive Problem Solving) for modeling specific corrosion management practices or assets like pipelines. It features modeling of various corrosion processes and reactions via numerical analysis, machine learning, fuzzy calculus, and fuzzy logic. Each chapter is written by an expert in the field with significant experience, ensuring that the content is up-to-date and of the highest quality. This book is an essential resource for professionals in the industry who seek to enhance their understanding of corrosion and its management through state-of-the-art modeling methods. 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
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532 8 |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com 
588 |a Print version record. 
650 0 |a Metals. 
650 0 |a Corrosion and anti-corrosives. 
650 0 |a Materials science  |x Data processing. 
650 0 |a Materials. 
650 0 |a Catalysis. 
650 0 |a Force and energy. 
650 0 |a Artificial intelligence. 
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650 2 4 |a Corrosion. 
650 2 4 |a Computational Materials Science. 
650 2 4 |a Materials for Energy and Catalysis. 
650 2 4 |a Artificial Intelligence. 
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