Probabilistic fracture mechanics and reliability

Probabilistic fracture mechanics and reliability PDF

Author: J.W. Provan

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 477

ISBN-13: 9401727643

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With the advent of the 80's there has been an increasing need for analytic and numerical techniques, based on a thorough understanding of microstructural processes, that express in a manner suitable for practicing engineers the reliability of components and structures that are being subjected to degradation situations. Such situations fall within the framework offracture mechanics, fatigue, corrosion fatigue and pitting corrosion. Luckily, such techniques are now being developed and it was felt timely to combine in one volume reports by the leaders in this field who are currently making great strides towards solving these problems. Hence the idea of this monograph was born and I am pleased to be associated both with it and the contributors whose chapters are included in this volume. A very large part of the credit for this monograph must go to the authors who have taken time out from their busy schedules to prepare their submissions. They have all worked diligently over the last few months in order to get their manuscripts to me on time and I sincerely thank them for their help throughout the preparation of this volume.

A Probabilistic Fracture Mechanics Approach for Structural Reliability Assessment of Space Flight Systems

A Probabilistic Fracture Mechanics Approach for Structural Reliability Assessment of Space Flight Systems PDF

Author: M. Creager

Publisher:

Published: 1992

Total Pages: 13

ISBN-13:

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A probabilistic fracture mechanics approach for predicting the failure life distribution due to subcritical crack growth is presented. A state-of-the-art crack propagation method is used in a Monte Carlo simulation to generate a distribution of failure lives. The crack growth failure model expresses failure life as a function of stochastic parameters including environment, loads, material properties, geometry, and model specification errors. A stochastic crack growth rate model that considers the uncertainties due to scatter in the data and model misspecification is proposed. The rationale for choosing a particular type of probability distribution for each stochastic input parameter and for specifying the distribution parameters is presented. The approach is demonstrated through a probabilistic crack growth failure analysis of a welded tube in the Space Shuttle Main Engine. A discussion of the results from this application of the methodology is given.

Applications of a Probabilistic Fracture Mechanics Model to the Influence of In-Service Inspection on Structural Reliability

Applications of a Probabilistic Fracture Mechanics Model to the Influence of In-Service Inspection on Structural Reliability PDF

Author: DO. Harris

Publisher:

Published: 1983

Total Pages: 23

ISBN-13:

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A probabilistic fracture mechanics model of structural reliability is described that considers failure to occur as the result of subcritical and catastrophic growth of pre-existing cracks that escape detection. The model considers cracks to be two-dimensional and is capable of treating many of the input parameters as random variables and can consider arbitrary inspection schedules. The two-dimensional model is greatly simplified when one-dimensional cracks are considered, and an analytical treatment of the influence of in-service inspection for the one-dimensional case reveals that the ratio of failure rates with and without inspection is independent of the crack size distribution. Numerical results for two-dimensional cracks in a weld joint in a large reactor pipe show that the ratio of failure rates is not highly dependent on the initial crack distribution, even for this more general case. Thus, it appears that an assessment of the relative benefit of in-service inspection does not require accurate knowledge of the initial crack distribution. Additionally, the results show that leaks in large pipes are not very probable, but are much more likely to occur than a sudden double-ended pipe break.

Fracture Mechanics 1

Fracture Mechanics 1 PDF

Author: Ammar Grous

Publisher: John Wiley & Sons

Published: 2013-02-05

Total Pages: 209

ISBN-13: 1118580125

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This first book of a 3-volume set on Fracture Mechanics is mainly centered on the vast range of the laws of statistical distributions encountered in various scientific and technical fields. These laws are indispensable in understanding the probability behavior of components and mechanical structures that are exploited in the other volumes of this series, which are dedicated to reliability and quality control. The author presents not only the laws of distribution of various models but also the tests of adequacy suited to confirm or counter the hypothesis of the law in question, namely the Pearson (x2) test, the Kolmogorov-Smirnov (KS) test, along with many other relevant tests. This book distinguishes itself from other works in the field through its originality in presenting an educational approach which aims at helping practitioners both in academia and industry. It is intended for technicians, engineers, designers, students, and teachers working in the fields of engineering and vocational education. The main objective of the author is to provide an assessment of indicators of quality and reliability to aid in decision-making. To this end, an intuitive and practical approach, based on mathematical rigor, is recommended.

Fracture Mechanics 2

Fracture Mechanics 2 PDF

Author: Ammar Grous

Publisher: John Wiley & Sons

Published: 2013-02-05

Total Pages: 279

ISBN-13: 1118580060

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This second book of a 3-volume set on Fracture Mechanics completes the first volume through the analysis of adjustment tests suited to correctly validating the justified use of the laws conforming to the behavior of the materials and structures under study. This volume focuses on the vast range of statistical distributions encountered in reliability. Its aim is to run statistical measurements, to present a report on enhanced measures in mechanical reliability and to evaluate the reliability of repairable or unrepairable systems. To achieve this, the author presents a theoretical and practice-based approach on the following themes: criteria of failures; Bayesian applied probability; Markov chains; Monte Carlo simulation as well as many other solved case studies. This book distinguishes itself from other works in the field through its originality in presenting an educational approach which aims at helping practitioners both in academia and industry. It is intended for technicians, engineers, designers, students, and teachers working in the fields of engineering and vocational education. The main objective of the author is to provide an assessment of indicators of quality and reliability to aid in decision-making. To this end, an intuitive and practical approach, based on mathematical rigor, is recommended.

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