03398nam a22006135i 4500 978-3-031-60358-7 DE-He213 20251030112701.0 cr nn 008mamaa 240731s2024 sz | s |||| 0|eng d 9783031603587 978-3-031-60358-7 10.1007/978-3-031-60358-7 doi TA459-492 TGM bicssc TEC021030 bisacsh TGM thema Advances in Corrosion Modelling [electronic resource] / edited by Reza Javaherdashti. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 232 p. 107 illus., 95 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Engineering Materials, 1868-1212 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. 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. Metals. Corrosion and anti-corrosives. 66554 Materials science Data processing. 67985 Materials. Catalysis. 66843 Force and energy. 66844 Artificial intelligence. 58441 Metals and Alloys. Corrosion. 66557 Computational Materials Science. 67987 Materials for Energy and Catalysis. 66847 Artificial Intelligence. 58441 Javaherdashti, Reza. editor. edt http://id.loc.gov/vocabulary/relators/edt 81609 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031603570 Printed edition: 9783031603594 Printed edition: 9783031603600 Engineering Materials, 1868-1212 18015 https://doi.org/10.1007/978-3-031-60358-7 ZDB-2-CMS ZDB-2-SXC 62081 62081