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Principles Underpinning Reliability based Prediction of Fatigue and Fracture Behaviours

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Fatigue and Fracture Reliability Engineering

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

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Abstract

A series of original and practical approaches including new techniques in determining fatigue and fracture performances, phenomenological expressions for generalized constant life curves, parameter estimation formulas, the two-dimensional probability distributions of generalized strength in ultra-long life regions are proposed. New techniques on randomization approach of deterministic equations and single-point likelihood method (SPLM) are presented to address the paucity of data in determining fatigue and fracture performances based on reliability concepts. Three new randomized models of time/state-dependent processes are presented for estimating the P-a-t, P-da/dN-ΔK and P-S-N curves, by using a randomization approach of deterministic equations and single-point ikelihood method (SPLM), dealing with small sample numbers of data. The confidence level formulations for these curves are also given. Two new phenomenological expressions for generalized constant life curves are developed based on traditional fatigue constant life curve, and new parameter estimation formulas of generalized constant life curves are deduced from a linear correlation coefficient optimization approach. From the generalized constant life curves proposed, the original two-dimensional joint probability distributions of generalized strength are derived.

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Authors and Affiliations

  1. Aircraft Department, Beihang University, Beijing, People’s Republic of China

    J. J. Xiong

  2. School of Engineering Sciences, University of Southampton, Southampton, UK

    R. A. Shenoi

Authors
  1. J. J. Xiong
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  2. R. A. Shenoi
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Correspondence to J. J. Xiong .

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© 2011 Springer-Verlag London Limited

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Xiong, J.J., Shenoi, R.A. (2011). Principles Underpinning Reliability based Prediction of Fatigue and Fracture Behaviours. In: Fatigue and Fracture Reliability Engineering. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/978-0-85729-218-6_3

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  • DOI: https://doi.org/10.1007/978-0-85729-218-6_3

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-217-9

  • Online ISBN: 978-0-85729-218-6

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