Bayesian Network Modeling Of Corrosion
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Bayesian Network Modeling of Corrosion
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.
Bayesian Network Modeling of Corrosion
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.
Handbook of Research on Corrosion Sciences and Engineering
The climate change crisis presents a multi-dimensional challenge to the development of the built environment. With finite global resources and increasingly unpredictable climate patterns, the need to improve our understanding of sustainable practices and materials for construction has never been more pressing. The Handbook of Research on Corrosion Sciences and Engineering aims to shed light on the recent developments in the usage of sustainable materials to protect metallic materials against corrosion and provides emerging research exploring the theoretical and practical aspects of corrosion engineering science and technology. Covering key topics such as machine learning, smart coating, sustainability, and artificial intelligence, this major reference work is ideal for construction workers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.