Stochastic Modeling of Thermal Fatigue Crack Growth

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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.

Author(s): Vasile Radu (auth.)
Series: Applied Condition Monitoring 1
Edition: 1
Publisher: Springer International Publishing
Year: 2015

Language: English
Pages: 90
Tags: Continuum Mechanics and Mechanics of Materials; Industrial and Production Engineering; Nuclear Engineering; Structural Materials

Front Matter....Pages 1-12
Introduction....Pages 1-4
Background on Stochastic Models for Cumulative Damage Process....Pages 5-10
Basic Mathematical Tools for Stochastic Fatigue Analysis....Pages 11-31
Stochastic Model for Thermal Fatigue Crack Growth....Pages 33-62
Application....Pages 63-69
Conclusions....Pages 71-71
Back Matter....Pages 73-86