03405nam a22005775i 4500 978-3-031-56128-3 DE-He213 20251030112342.0 cr nn 008mamaa 240630s2024 sz | s |||| 0|eng d 9783031561283 978-3-031-56128-3 10.1007/978-3-031-56128-3 doi TA418.74-.76 TGM bicssc TEC021040 bisacsh TGM thema Bayesian Network Modeling of Corrosion [electronic resource] / edited by Narasi Sridhar. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XIV, 338 p. 147 illus., 140 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter1. Introduction: Risk Assessment -- Chapter.2. Bayesian Network Basics -- Chaoter.3. Corrosion Models -- Chapter.4. Statistical Models: Propagation of Uncertainty and Monte Carlo modeling -- Chapter.5. Corrosion Risk Assessment in Pipelines -- Chapter.6. Oil and Gas Production Systems -- Chapter.7.Nuclear Energy -- Chapter.8. Localized Corrosion in Saline Environments -- Chapter.9. BN for reinforced concrete structures -- Chapter.10.Coatings -- Chapter.11.Summary and Future. 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. Corrosion and anti-corrosives. 66554 Statistics . 65982 Stochastic models. Surfaces (Technology). 65847 Thin films. 65848 Coatings. Corrosion. 66557 Bayesian Network. 79667 Stochastic Modelling in Statistics. 66720 Surfaces, Interfaces and Thin Film. 65850 Coatings. Sridhar, Narasi. editor. edt http://id.loc.gov/vocabulary/relators/edt 79668 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031561276 Printed edition: 9783031561290 Printed edition: 9783031561306 https://doi.org/10.1007/978-3-031-56128-3 ZDB-2-CMS ZDB-2-SXC 61176 61176