Stochastic Modeling of Thermal Fatigue Crack Growth

This book PDF is perfect for those who love Science genre, written by Vasile Radu and published by Springer which was released on 19 November 2014 with total hardcover pages 89. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Stochastic Modeling of Thermal Fatigue Crack Growth books below.

Stochastic Modeling of Thermal Fatigue Crack Growth
Author : Vasile Radu
File Size : 53,9 Mb
Publisher : Springer
Language : English
Release Date : 19 November 2014
ISBN : 9783319128771
Pages : 89 pages
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Stochastic Modeling of Thermal Fatigue Crack Growth by Vasile Radu Book PDF Summary

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.

Stochastic Modeling of Thermal Fatigue Crack Growth

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

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