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Stochastic Modeling of Thermal Fatigue Crack Growth by Vasile Radu at Abbey's Bookshop,
Stochastic Modeling of Thermal Fatigue Crack Growth
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Vasile Radu

Stochastic Modeling of Thermal Fatigue Crack Growth

Vasile Radu

$251.95   $201.58

Hardback

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English
Springer International Publishing AG
03 December 2014
Stochastics; Engineering thermodynamics; Stress & fracture
Series: Applied Condition Monitoring
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.
By:  
Imprint:   Springer International Publishing AG
Country of Publication:   Switzerland
Edition:   2015 ed.
Volume:   1
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 8mm
Weight:   454g
ISBN:   9783319128764
ISBN 10:   3319128760
Series:   Applied Condition Monitoring
Pages:   89
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
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.

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