A general class of cumulative damage models for materials failure

Author:

Park Chanseok,Padgett W.J.

Publisher

Elsevier BV

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference27 articles.

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2. A new look at the statistical model identification;Akaike;IEEE Transactions on Automatic Control,1974

3. Bader, M.G., Priest, A.M., 1982. Statistical aspects of fibre and bundle strength in hybrid composites. In: Hayashi, T., Kasata, K., Umekawa, S. (Eds.), Progress in Science and Engineering of Composites, Proceedings of ICCM-IV. ICCM, Tokyo, pp. 1129–1136.

4. Fatigue failure models—Birnbaum–Saunders vs. inverse Gaussian;Bhattacharyya;IEEE Transactions on Reliability,1982

5. A new family of life distributions;Birnbaum;Journal of Applied Probability,1969

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1. Mean stress effect on Gaßner curves interpreted as shifted Wöhler curves and application to smooth and notched geometries;Fatigue & Fracture of Engineering Materials & Structures;2020-01-21

2. Birnbaum‐Saunders distribution: A review of models, analysis, and applications;Applied Stochastic Models in Business and Industry;2018-07-04

3. Stochastic Accelerated Degradation Models Based on a Generalized Cumulative Damage Approach;Statistical Modeling for Degradation Data;2017

4. Cumulative Damage Models Based on Gamma Processes;Wiley StatsRef: Statistics Reference Online;2014-09-29

5. Cumulative Damage Models Based on Gamma Processes;Encyclopedia of Statistics in Quality and Reliability;2008-03-15

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