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001 978-3-319-12877-1
003 DE-He213
005 20200421111206.0
007 cr nn 008mamaa
008 141119s2015 gw | s |||| 0|eng d
020 _a9783319128771
_9978-3-319-12877-1
024 7 _a10.1007/978-3-319-12877-1
_2doi
050 4 _aTA405-409.3
050 4 _aQA808.2
072 7 _aTG
_2bicssc
072 7 _aTEC009070
_2bisacsh
072 7 _aTEC021000
_2bisacsh
082 0 4 _a620.1
_223
100 1 _aRadu, Vasile.
_eauthor.
245 1 0 _aStochastic Modeling of Thermal Fatigue Crack Growth
_h[electronic resource] /
_cby Vasile Radu.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXIV, 90 p. 23 illus., 6 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aApplied Condition Monitoring,
_x2363-698X ;
_v1
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 _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.    .
650 0 _aEngineering.
650 0 _aContinuum mechanics.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 0 _aNuclear engineering.
650 0 _aStructural materials.
650 1 4 _aEngineering.
650 2 4 _aContinuum Mechanics and Mechanics of Materials.
650 2 4 _aIndustrial and Production Engineering.
650 2 4 _aNuclear Engineering.
650 2 4 _aStructural Materials.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319128764
830 0 _aApplied Condition Monitoring,
_x2363-698X ;
_v1
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-12877-1
912 _aZDB-2-ENG
942 _cEBK
999 _c54135
_d54135