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...
-д хадгалсан:
| Байгууллагын зохиогч: | |
|---|---|
| Бусад зохиолчид: | |
| Формат: | Цахим Цахим ном |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
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| Хэвлэл: | 1st ed. 2024. |
| Нөхцлүүд: | |
| Онлайн хандалт: | https://doi.org/10.1007/978-3-031-56128-3 |
| Шошгууд: |
Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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MARC
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| 245 | 1 | 0 | |a Bayesian Network Modeling of Corrosion |h [electronic resource] / |c edited by Narasi Sridhar. |
| 250 | |a 1st ed. 2024. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2024. | |
| 300 | |a XIV, 338 p. 147 illus., 140 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of color is not sole means of conveying information |2 onix | |
| 341 | 0 | |b Use of high contrast between text and background color |2 onix | |
| 341 | 0 | |b Next / Previous structural navigation |2 onix | |
| 341 | 0 | |b All non-decorative content supports reading without sight |2 onix | |
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Corrosion and anti-corrosives. | |
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Stochastic models. | |
| 650 | 0 | |a Surfaces (Technology). | |
| 650 | 0 | |a Thin films. | |
| 650 | 0 | |a Coatings. | |
| 650 | 1 | 4 | |a Corrosion. |
| 650 | 2 | 4 | |a Bayesian Network. |
| 650 | 2 | 4 | |a Stochastic Modelling in Statistics. |
| 650 | 2 | 4 | |a Surfaces, Interfaces and Thin Film. |
| 650 | 2 | 4 | |a Coatings. |
| 700 | 1 | |a Sridhar, Narasi. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031561276 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031561290 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031561306 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-56128-3 |
| 912 | |a ZDB-2-CMS | ||
| 912 | |a ZDB-2-SXC | ||
| 950 | |a Chemistry and Materials Science (SpringerNature-11644) | ||
| 950 | |a Chemistry and Material Science (R0) (SpringerNature-43709) | ||