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000724491 019__ $$a899563593$$a908087201
000724491 020__ $$a9783319128771$$qelectronic book
000724491 020__ $$a3319128779$$qelectronic book
000724491 020__ $$z9783319128764
000724491 020__ $$z3319128760
000724491 0247_ $$a10.1007/978-3-319-12877-1$$2doi
000724491 035__ $$aSP(OCoLC)ocn896824820
000724491 035__ $$aSP(OCoLC)896824820$$z(OCoLC)899563593$$z(OCoLC)908087201
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000724491 049__ $$aISEA
000724491 050_4 $$aTA418.58
000724491 08204 $$a620.1121$$223
000724491 1001_ $$aRadu, Vasile,$$eauthor.
000724491 24510 $$aStochastic modeling of thermal fatigue crack growth$$h[electronic resource] /$$cVasile Radu.
000724491 264_1 $$aCham :$$bSpringer,$$c[2015]
000724491 264_4 $$c©2015
000724491 300__ $$a1 online resource :$$billustrations.
000724491 336__ $$atext$$btxt$$2rdacontent
000724491 337__ $$acomputer$$bc$$2rdamedia
000724491 338__ $$aonline resource$$bcr$$2rdacarrier
000724491 4901_ $$aApplied condition monitoring ;$$vvolume 1
000724491 504__ $$aIncludes bibliographical references.
000724491 5050_ $$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.
000724491 506__ $$aAccess limited to authorized users.
000724491 520__ $$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.
000724491 588__ $$aDescription based on online resource; title from PDF title page (viewed December 2, 2014).
000724491 650_0 $$aThermal stresses.
000724491 650_0 $$aStochastic models.
000724491 77608 $$iPrint version:$$z3319128760$$z9783319128764
000724491 830_0 $$aApplied condition monitoring ;$$vv. 1.
000724491 852__ $$bebk
000724491 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-12877-1$$zOnline Access$$91397441.1
000724491 909CO $$ooai:library.usi.edu:724491$$pGLOBAL_SET
000724491 980__ $$aEBOOK
000724491 980__ $$aBIB
000724491 982__ $$aEbook
000724491 983__ $$aOnline
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