000			03405nam a22005775i 4500
001			978-3-031-56128-3
003			DE-He213
005			20251030112342.0
007			cr nn 008mamaa
008			240630s2024 sz | s |||| 0|eng d
020			_a9783031561283 _9978-3-031-56128-3
024	7		_a10.1007/978-3-031-56128-3 _2doi
050		4	_aTA418.74-.76
072		7	_aTGM _2bicssc
072		7	_aTEC021040 _2bisacsh
072		7	_aTGM _2thema
245	1	0	_aBayesian Network Modeling of Corrosion _h[electronic resource] / _cedited by Narasi Sridhar.
250			_a1st ed. 2024.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2024.
300			_aXIV, 338 p. 147 illus., 140 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aChapter1. 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			_aThis 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.
650		0	_aCorrosion and anti-corrosives. _966554
650		0	_aStatistics . _965982
650		0	_aStochastic models.
650		0	_aSurfaces (Technology). _965847
650		0	_aThin films. _965848
650		0	_aCoatings.
650	1	4	_aCorrosion. _966557
650	2	4	_aBayesian Network. _979667
650	2	4	_aStochastic Modelling in Statistics. _966720
650	2	4	_aSurfaces, Interfaces and Thin Film. _965850
650	2	4	_aCoatings.
700	1		_aSridhar, Narasi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _979668
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031561276
776	0	8	_iPrinted edition: _z9783031561290
776	0	8	_iPrinted edition: _z9783031561306
856	4	0	_uhttps://doi.org/10.1007/978-3-031-56128-3
912			_aZDB-2-CMS
912			_aZDB-2-SXC
999			_c61176 _d61176