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Stochastic Modeling of Thermal Fatigue Crack Growth

  • Book
  • © 2015

Overview

  • 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

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

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Table of contents (6 chapters)

Keywords

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.

Authors and Affiliations

  • Structural Integrity Assessment Subsidiary of RATEN, Institute for Nuclear Research Pitesti, Mioveni, Romania

    Vasile Radu

Bibliographic Information

  • Book Title: Stochastic Modeling of Thermal Fatigue Crack Growth

  • Authors: Vasile Radu

  • Series Title: Applied Condition Monitoring

  • DOI: https://doi.org/10.1007/978-3-319-12877-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2015

  • Hardcover ISBN: 978-3-319-12876-4Published: 03 December 2014

  • Softcover ISBN: 978-3-319-38519-8Published: 23 August 2016

  • eBook ISBN: 978-3-319-12877-1Published: 19 November 2014

  • 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

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