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Titlebook: Stochastic Modeling of Thermal Fatigue Crack Growth; Vasile Radu Book 2015 The Editor(s) (if applicable) and The Author(s), under exclusiv

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发表于 2025-3-21 19:20:14 | 显示全部楼层 |阅读模式
书目名称Stochastic Modeling of Thermal Fatigue Crack Growth
编辑Vasile Radu
视频video
概述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
丛书名称Applied Condition Monitoring
图书封面Titlebook: Stochastic Modeling of Thermal Fatigue Crack Growth;  Vasile Radu Book 2015 The Editor(s) (if applicable) and The Author(s), under exclusiv
描述.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..
出版日期Book 2015
关键词Elastic Thermal Stresses; Fracture Mechanics; Limit State Function; Monte Carlo Simulation; Piping Failu
版次1
doihttps://doi.org/10.1007/978-3-319-12877-1
isbn_softcover978-3-319-38519-8
isbn_ebook978-3-319-12877-1Series ISSN 2363-698X Series E-ISSN 2363-6998
issn_series 2363-698X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Applied Condition Monitoringhttp://image.papertrans.cn/s/image/878009.jpg
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Background on Stochastic Models for Cumulative Damage Process,hod of calculating crack propagation by linear elastic fracture mechanics (LEFM) in the case of Gaussian temperature fluctuations has been proposed by Miller, and the principal steps are outlined. The main features of various structural assessment techniques for thermal striping and thermal fatigue
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Stochastic Model for Thermal Fatigue Crack Growth,ss, we deal with the expected value of crack growth rate and expected rate of peak crossing (or mean rate of maxima) as well, in order to assess the thermal fatigue crack growth. The uncertainties in initial crack depth and Paris’s law constants will be accounted by Monte Carlo simulation based on a
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