Stochastic Crack Propagation

Stochastic Crack Propagation

Author: Giora Maymon

Publisher: Academic Press

Published: 2018-01-02

Total Pages: 216

ISBN-13: 0128141921

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Stochastic Crack Propagation: Essential Practical Aspects describes a feature important to the analysis of stochastic crack propagation, starting with essential background theory. Processes, or phenomena, which are of practical importance in the work of design engineers or R&D teams are described chapter by chapter. Many examples are described and supported by listed references, and files of data that can be used with specialist software to practice design situations are included. Advice on how to use various computer programs to design and predict for stochastic crack growth is also provided, giving professionals a complete guide. Presents instructions and exercises in the ideal format for professionals, focusing on applications Explains a methodology on how to optimize the engineering design process by including stochastic crack growth behavior Provides computational files to help readers get up-to-speed with design using programs like ANSYS and NASTRAN for stochastic crack growth


Stochastic Modeling of Thermal Fatigue Crack Growth

Stochastic Modeling of Thermal Fatigue Crack Growth

Author: Vasile Radu

Publisher: Springer

Published: 2014-11-19

Total Pages: 96

ISBN-13: 3319128779

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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.


Random Fatigue

Random Fatigue

Author: K. Sobczyk

Publisher: Academic Press

Published: 2012-12-02

Total Pages: 277

ISBN-13: 0323138586

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For many years fatigue has been a significant and difficult problem for engineers, especially for those who design structures such as aircraft, bridges, pressure vessels, and cranes. Fatigue of engineering materials is commonly regarded as an important deterioration process and a principal mode of failure for various structural and mechanical systems. This book presents a unified approach to stochastic modeling of the fatigue phenomenon, particularly the fatigue crack growth process. The main approaches to construction of these stochastic models are presented to show their methodological consistency and potential usefulness in engineering practice. The analyses contained in this work should also inspire the development of new approaches for designing and performing fatigue experiments.


Stochastic Crack Propagation with Applications to Durability and Damage Tolerance Analyses

Stochastic Crack Propagation with Applications to Durability and Damage Tolerance Analyses

Author: J. N. Yang

Publisher:

Published: 1985

Total Pages: 268

ISBN-13:

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Various stochastic models for fatigue crack propagation under either constant amplitude or spectrum loadings have been investigated. These models are based on the assumption that the crack growth rate is a lognormal random process, including the general lognormal random process, lognormal white noise process, lognormal random variable, and second moment approximations, such as Weibull, gamma, lognormal and Gaussian closure approximations. Extensive experimental data have been used for the correlation study with various stochastic models. These include fastener hole specimens under fighter or bomber spectrum laodings and center-cracked specimens under constant amplitude loads. The data sets for the fastener hole specimens cover adequately different loading conditions, environments, load transfers and crack size range. It is shown that the white noise process is definitely not a valid model for fatigue crack propagation.


Stochastic Approach to Fatigue

Stochastic Approach to Fatigue

Author: K. Sobczyk

Publisher: Springer

Published: 2014-05-04

Total Pages: 303

ISBN-13: 3709126223

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Fatigue of engineering materials is a very complicated process that is difficult to accurately describe and predict. It is no doubt nowadays, that a fatigue of real materials should be regarded as a random phenomenon and analyzed by use of stochastic theory. This volume of the lectures sumarises the latest achievements in stochastic modelling and analysis of fatigue. The lectures cover the following important aspects of modern analysis of fatigue: methodology of stochastic modelling of fatigue, tools for characterization of random fatigue loads, physical and mechanical aspects of random fatigue, basic stochastic models for fatigue and the estimation of fatigue reliability of specific structural systems.


Stochastic Fatigue Crack Growth

Stochastic Fatigue Crack Growth

Author: Chinwendu Chukwueloka Ike Mbanugo

Publisher:

Published: 1979

Total Pages: 868

ISBN-13:

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"The investigation confirms the existence of the mean and variance of both the crack front penetration and its growth rate. Details of the variations of the mean crack penetration with respect to the dispersion of the crack front distribution and the mean growth rate, respectively, are established. Other contributions include the evaluation of the material characteristic associated with the transition intensity of the growth process." --