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008			141119s2015 gw | s |||| 0|eng d
020			_a9783319128771
024	7		_a10.1007/978-3-319-12877-1 _2doi
040			_bspa _dES-MaUEC
050		4	_aTA418.58 _bR338 2015 EB
100	1		_aRadu, Vasile. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2007041483 _1http://viaf.org/viaf/27174655/ _1http://dbpedia.org/resource/Radu_Vasile
245	1	0	_aStochastic Modeling of Thermal Fatigue Crack Growth _cby Vasile Radu.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XIV, 90 páginas 23 ilustraciones, 6 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aApplied Condition Monitoring, _x2363-698X ; _v1
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Background on stochastic models for cumulative damage process -- Basic mathematical tools for stochastic fatigue analysis -- Stochastic model for thermal fatigue crack growth -- Application -- Conclusions.
520	3		_aThe book describes a systematic stochastic modeling approach for assessing thermal-fatigue crack-growth in mixing tees, based on the power spectral density of temperature fluctuation at the inner pipe surface. It shows the development of a frequency-temperature response function in the framework of single-input, single-output (SISO) methodology from random noise/signal theory under sinusoidal input. The frequency response of stress intensity factor (SIF) is obtained by a polynomial fitting procedure of thermal stress profiles at various instants of time. The method, which takes into account the variability of material properties, and has been implemented in a real-world application, estimates the probabilities of failure by considering a limit state function and Monte Carlo analysis, which are based on the proposed stochastic model. Written in a comprehensive and accessible style, this book presents a new and effective method for assessing thermal fatigue crack, and it is intended as a concise and practice-oriented guide for all undergraduate students, young scientists and researchers dealing with probabilistic assessment of structural integrity.    .
988			_aEBSPRINGER_2018
650		7	_aProcesos estocásticos _2embne _9405190
650		7	_9668004 _aTensiones térmicas
776	0	8	_iEdición impresa: _z9783319128788
776	0	8	_iEdición impresa: _z9783319128764
776	0	8	_iEdición impresa: _z9783319385198
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-12877-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _eIG _zSI