Stochastic Modeling of Thermal Fatigue Crack Growth: Applied Condition Monitoring, cartea 1
Autor Vasile Raduen Limba Engleză Hardback – 3 dec 2014
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Specificații
ISBN-13: 9783319128764
ISBN-10: 3319128760
Pagini: 90
Ilustrații: XIII, 89 p. 23 illus., 6 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.33 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Applied Condition Monitoring
Locul publicării:Cham, Switzerland
ISBN-10: 3319128760
Pagini: 90
Ilustrații: XIII, 89 p. 23 illus., 6 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.33 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Applied Condition Monitoring
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Presents a novel approach, based on systematic stochastic modeling, for assessing thermal fatigue crack growth in mixing tees Includes a practical application of the proposed method Describes original research work