© 2015

Stochastic Modeling of Thermal Fatigue Crack Growth


Part of the Applied Condition Monitoring book series (ACM, volume 1)

Table of contents

  1. Front Matter
    Pages 1-12
  2. Vasile Radu
    Pages 1-4
  3. Vasile Radu
    Pages 63-69
  4. Vasile Radu
    Pages 71-71
  5. Back Matter
    Pages 73-86

About this book


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.




Elastic Thermal Stresses Fracture Mechanics Limit State Function Monte Carlo Simulation Piping Failure Statistical Properties of Thermal Spectrum Stochastic Fatigue Analysis Thermal Stresses in Mixing Tees Thermal Striping

Authors and affiliations

  1. 1.Structural Integrity Assessment Subsidiary of RATENInstitute for Nuclear Research PitestiMioveniRomania

Bibliographic information

  • Book Title Stochastic Modeling of Thermal Fatigue Crack Growth
  • Authors Vasile Radu
  • Series Title Applied Condition Monitoring
  • Series Abbreviated Title Applied Condition Monitoring
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-12876-4
  • Softcover ISBN 978-3-319-38519-8
  • eBook ISBN 978-3-319-12877-1
  • Series ISSN 2363-698X
  • Series E-ISSN 2363-6998
  • Edition Number 1
  • Number of Pages XIII, 89
  • Number of Illustrations 17 b/w illustrations, 6 illustrations in colour
  • Topics Solid Mechanics
    Industrial and Production Engineering
    Nuclear Energy
    Structural Materials
  • Buy this book on publisher's site
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