00815nam0-22003011i-450-99000696521040332120011003000696521FED01000696521(Aleph)000696521FED0100069652120011003d1958----km-y0itay50------baengUSy-------001yyQuestions and answers on Tortsedited by FisherLondonsweet & Maxwell Limited1958V, 141 p.14 cmStudents' aids346.0320itaFisher,Jean256424ITUNINARICAUNIMARCBK990006965210403321COLLEZIONE 167 (2)56781FGBCFGBCQuestions and answers on Torts699838UNINA01350aam 2200373I 450 991070952690332120151026025817.0GOVPUB-C13-61edcb7c3e26e37b5687caa22e25e76a(CKB)5470000002479734(OCoLC)926740980(EXLCZ)99547000000247973420151026d1971 ua 0engrdacontentrdamediardacarrierU.S. metric study interim report - testimony of nationally representative groups /Daniel V. De SimoneGaithersburg, MD :U.S. Dept. of Commerce, National Institute of Standards and Technology,1971.1 online resourceNBS special publication ;345-121971.Contributed record: Metadata reviewed, not verified. Some fields updated by batch processes.Title from PDF title page.Includes bibliographical references.De Simone Daniel V1389423De Simone Daniel V1389423United States.National Bureau of Standards.NBSNBSGPOBOOK9910709526903321U.S. metric study interim report - testimony of nationally representative groups3530350UNINA04065nam 22007695 450 991029985360332120210910170234.03-319-12877-910.1007/978-3-319-12877-1(CKB)3710000000291508(EBL)1967524(OCoLC)896824820(SSID)ssj0001386282(PQKBManifestationID)11809731(PQKBTitleCode)TC0001386282(PQKBWorkID)11350948(PQKB)11660402(DE-He213)978-3-319-12877-1(MiAaPQ)EBC1967524(PPN)183094174(EXLCZ)99371000000029150820141119d2015 u| 0engur|n|---|||||txtccrStochastic Modeling of Thermal Fatigue Crack Growth /by Vasile Radu1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (96 p.)Applied Condition Monitoring,2363-698X ;1Description based upon print version of record.3-319-12876-0 Includes bibliographical references.Introduction -- Background on stochastic models for cumulative damage process -- Basic mathematical tools for stochastic fatigue analysis -- Stochastic model for thermal fatigue crack growth -- Application -- Conclusions.The 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.    .Applied Condition Monitoring,2363-698X ;1MechanicsMechanics, AppliedIndustrial engineeringProduction engineeringNuclear energyBuilding materialsSolid Mechanicshttps://scigraph.springernature.com/ontologies/product-market-codes/T15010Industrial and Production Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T22008Nuclear Energyhttps://scigraph.springernature.com/ontologies/product-market-codes/113000Structural Materialshttps://scigraph.springernature.com/ontologies/product-market-codes/Z11000Mechanics.Mechanics, Applied.Industrial engineering.Production engineering.Nuclear energy.Building materials.Solid Mechanics.Industrial and Production Engineering.Nuclear Energy.Structural Materials.620.1121Radu Vasileauthttp://id.loc.gov/vocabulary/relators/aut231509MiAaPQMiAaPQMiAaPQBOOK9910299853603321Stochastic modeling of thermal fatigue crack growth1413133UNINA