Empirical process methods for classical fiber bundles

This paper studies the limit distribution for the tensile strength of fiber bundles consisting of parallel and continuous fibers under equal load sharing. The mechanical and statistical behavior of the individual fibers is described by rather general load-strain functions containing random parameters which are motivated by experimental observations of material behavior. The problem is cast within the context of function-indexed empirical processes which provides the structure needed to deduce central limit theorems for classical fiber bundles. This setting allows for a variety of new appliations and generalizations, most of which are unobtainable in the limited context of previous studies. Also, these applications provide a nontrivial example for which empirical process methods are required.

[1]  S. Leigh Phoenix,et al.  The asymptotic strength distribution of a general fiber bundle , 1973, Advances in Applied Probability.

[2]  S. Leigh Phoenix,et al.  Statistical Theory for the Strength of Twisted Fiber Bundles with Applications to Yarns and Cables , 1979 .

[3]  H. Daniels The statistical theory of the strength of bundles of threads. I , 1945, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[4]  R. Dudley A course on empirical processes , 1984 .

[5]  Richard L. Smith The Asymptotic Distribution of the Strength of a Series-Parallel System with Equal Load-Sharing , 1982 .

[6]  D. Pollard A central limit theorem for empirical processes , 1982, Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics.

[7]  P. Billingsley,et al.  Convergence of Probability Measures , 1969 .

[8]  M. Ossiander,et al.  A Central Limit Theorem Under Metric Entropy with $L_2$ Bracketing , 1987 .

[9]  S. Phoenix Probabilistic inter-fiber dependence and the asymptotic strength distribution of classic fiber bundles , 1975 .

[10]  S. L. Phoenix,et al.  Probabilistic strength analysis of fibre bundle structures , 1974 .

[11]  H. E. Daniels,et al.  The maximum of a Gaussian process whose mean path has a maximum, with an application to the strength of bundles of fibres , 1989, Advances in Applied Probability.

[12]  R. Miller,et al.  Properties of metals at elevated temperatures , 1950 .

[13]  R. Dudley Central Limit Theorems for Empirical Measures , 1978 .

[14]  R. Dudley Corrections to "Central Limit Theorems for Empirical Measures" , 1979 .

[15]  D. Pollard Convergence of stochastic processes , 1984 .