Bayesian Network Modeling of Corrosion



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Éditeur :

Springer


Paru le : 2024-06-29



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Description

This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management. The contributors describe how probability distributions can be developed for corroding systems and BN can be applied as an ideal framework to deal with corrosion risk. Corrosion can develop suddenly and grow rapidly after a long incubation period and take many non-uniform aspects, including pitting and stress corrosion cracking, that cannot be mitigated by simply bulking up the system. They also describe how complex engineering structures and systems are influenced by many natural and engineering factors that come together in myriad ways. It provides a broad perspective to the reader on the potential of BN as an artificial intelligence tool for corrosion risk management and the challenges for implementing it.

Pages
338 pages
Collection
n.c
Parution
2024-06-29
Marque
Springer
EAN papier
9783031561276
EAN PDF
9783031561283

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
17060 Ko
Prix
192,59 €
EAN EPUB
9783031561283

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
64594 Ko
Prix
192,59 €

Dr. Narasi Sridhar is CEO of MC Consult LLC, in Temecula, CA and an Adjunct Professor in the Department of Materials Science & Engineering, The Ohio State University. He has over 45 years of experience in corrosion science and engineering.

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