01542nam a2200361 i 450099100067898970753620020507172151.0950426s1980 uk ||| | eng 0123786800b10742086-39ule_instLE01300598ExLDip.to Matematicaeng003519.3AMS 93E11AMS 93E20QA402Jacobs, O. L. R.25471Analysis and optimisation of stochastic systems :based on the proceedings of the International Conference on Analysis and Optimisation of Stochastic Systems held at the University of Oxford from 6-8 September, 1978 /organised by the Institute of Mathematics and its Applications ; edited by O. L. R. Jacobs ... [et al.]London ; New York :Academic Press,1980xiv, 573 p. :graphs ;24 cm.The Institute of mathematics and its applications conference seriesIncludes bibliographical references and indexFilteringOptimal stochastic controlOptimizationCongressesStochastic systemsCongresses.b1074208621-09-0628-06-02991000678989707536LE013 93E JAC11 (1980)12013000027760le013-E0.00-l- 00000.i1083350x28-06-02Analysis and optimisation of stochastic systems910847UNISALENTOle01301-01-95ma -enguk 0103311nam 22006735 450 991086915600332120240630125243.0978303156128310.1007/978-3-031-56128-3(CKB)32609879000041(MiAaPQ)EBC31507278(Au-PeEL)EBL31507278(DE-He213)978-3-031-56128-3(OCoLC)1443934629(EXLCZ)993260987900004120240630d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierBayesian Network Modeling of Corrosion /edited by Narasi Sridhar1st ed. 2024.Cham :Springer International Publishing :Imprint: Springer,2024.1 online resource (343 pages)9783031561276 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-corrosivesStatisticsStochastic modelsSurfaces (Technology)Thin filmsCoatingsCorrosionBayesian NetworkStochastic Modelling in StatisticsSurfaces, Interfaces and Thin FilmCoatingsCorrosion and anti-corrosives.Statistics.Stochastic models.Surfaces (Technology)Thin films.Coatings.Corrosion.Bayesian Network.Stochastic Modelling in Statistics.Surfaces, Interfaces and Thin Film.Coatings.620.11223Sridhar Narasi1743639Sridhar1743640MiAaPQMiAaPQMiAaPQ9910869156003321Bayesian Network Modeling of Corrosion4171894UNINA