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010   $a3-319-12877-9
024 7 $a10.1007/978-3-319-12877-1
035   $a(CKB)3710000000291508
035   $a(EBL)1967524
035   $a(OCoLC)896824820
035   $a(SSID)ssj0001386282
035   $a(PQKBManifestationID)11809731
035   $a(PQKBTitleCode)TC0001386282
035   $a(PQKBWorkID)11350948
035   $a(PQKB)11660402
035   $a(DE-He213)978-3-319-12877-1
035   $a(MiAaPQ)EBC1967524
035   $a(PPN)183094174
035   $a(EXLCZ)993710000000291508
100   $a20141119d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aStochastic Modeling of Thermal Fatigue Crack Growth /$fby Vasile Radu
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (96 p.)
225 1 $aApplied Condition Monitoring,$x2363-698X ;$v1
300   $aDescription based upon print version of record.
311   $a3-319-12876-0 
320   $aIncludes bibliographical references.
327   $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.
330   $aThe book describes a systematic stochastic modeling approach for assessing thermal-fatigue crack-growth in mixing tees, based on the power spectral density of temperature fluctuation at the inner pipe surface. It shows the development of a frequency-temperature response function in the framework of single-input, single-output (SISO) methodology from random noise/signal theory under sinusoidal input. The frequency response of stress intensity factor (SIF) is obtained by a polynomial fitting procedure of thermal stress profiles at various instants of time. The method, which takes into account the variability of material properties, and has been implemented in a real-world application, estimates the probabilities of failure by considering a limit state function and Monte Carlo analysis, which are based on the proposed stochastic model. Written in a comprehensive and accessible style, this book presents a new and effective method for assessing thermal fatigue crack, and it is intended as a concise and practice-oriented guide for all undergraduate students, young scientists and researchers dealing with probabilistic assessment of structural integrity.    .
410  0$aApplied Condition Monitoring,$x2363-698X ;$v1
606   $aMechanics
606   $aMechanics, Applied
606   $aIndustrial engineering
606   $aProduction engineering
606   $aNuclear energy
606   $aBuilding materials
606   $aSolid Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15010
606   $aIndustrial and Production Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T22008
606   $aNuclear Energy$3https://scigraph.springernature.com/ontologies/product-market-codes/113000
606   $aStructural Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z11000
615  0$aMechanics.
615  0$aMechanics, Applied.
615  0$aIndustrial engineering.
615  0$aProduction engineering.
615  0$aNuclear energy.
615  0$aBuilding materials.
615 14$aSolid Mechanics.
615 24$aIndustrial and Production Engineering.
615 24$aNuclear Energy.
615 24$aStructural Materials.
676   $a620.1121
700   $aRadu$b Vasile$4aut$4http://id.loc.gov/vocabulary/relators/aut$0231509
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299853603321
996   $aStochastic modeling of thermal fatigue crack growth$91413133
997   $aUNINA