| 書目名稱 | Stochastic Modeling of Thermal Fatigue Crack Growth | | 編輯 | Vasile Radu | | 視頻video | http://file.papertrans.cn/879/878009/878009.mp4 | | 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 | | 叢書名稱 | Applied Condition Monitoring | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | Elastic Thermal Stresses; Fracture Mechanics; Limit State Function; Monte Carlo Simulation; Piping Failu | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-12877-1 | | isbn_softcover | 978-3-319-38519-8 | | isbn_ebook | 978-3-319-12877-1Series ISSN 2363-698X Series E-ISSN 2363-6998 | | issn_series | 2363-698X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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