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010   $a9783031603587$b(electronic bk.)
010   $z9783031603570
024 7 $a10.1007/978-3-031-60358-7
035   $a(MiAaPQ)EBC31575171
035   $a(Au-PeEL)EBL31575171
035   $a(CKB)33566089800041
035   $a(DE-He213)978-3-031-60358-7
035   $a(EXLCZ)9933566089800041
100   $a20240731d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvances in Corrosion Modelling /$fedited by Reza Javaherdashti
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (239 pages)
225 1 $aEngineering Materials,$x1868-1212
311 08$aPrint version: Javaherdashti, Reza Advances in Corrosion Modelling Cham : Springer,c2024 9783031603570 
327   $a1 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.
330   $aThis book is devoted to explaining advanced modelling practices of corrosion management. The eleven expert-authored chapters cover various aspects of corrosion management, from the basics of corrosion and its underlying definitions and concepts to the use of specific methods such as fuzzy logic or TRIZ (Russian: Theory of Inventive Problem Solving) for modeling specific corrosion management practices or assets like pipelines. It features modeling of various corrosion processes and reactions via numerical analysis, machine learning, fuzzy calculus, and fuzzy logic. Each chapter is written by an expert in the field with significant experience, ensuring that the content is up-to-date and of the highest quality. This book is an essential resource for professionals in the industry who seek to enhance their understanding of corrosion and its management through state-of-the-art modeling methods.
410  0$aEngineering Materials,$x1868-1212
606   $aMetals
606   $aCorrosion and anti-corrosives
606   $aMaterials science$xData processing
606   $aMaterials
606   $aCatalysis
606   $aForce and energy
606   $aArtificial intelligence
606   $aMetals and Alloys
606   $aCorrosion
606   $aComputational Materials Science
606   $aMaterials for Energy and Catalysis
606   $aArtificial Intelligence
615  0$aMetals.
615  0$aCorrosion and anti-corrosives.
615  0$aMaterials science$xData processing.
615  0$aMaterials.
615  0$aCatalysis.
615  0$aForce and energy.
615  0$aArtificial intelligence.
615 14$aMetals and Alloys.
615 24$aCorrosion.
615 24$aComputational Materials Science.
615 24$aMaterials for Energy and Catalysis.
615 24$aArtificial Intelligence.
676   $a620.16
700   $aJavaherdashti$b Reza$0766959
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910878045003321
996   $aAdvances in Corrosion Modelling$94189151
997   $aUNINA