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Abstract
In this work, the well known power-law relation between strength and sample size,
\(d^{-n}\), is derived from the knowledge that a dislocation network exhibits scale-free
behaviour and the extreme value statistical properties of an arbitrary distribution
of critical stresses. This approach yields \(n=(\tau+1)/(\alpha+1)\), where \(\alpha\)
reflects the leading order algebraic exponent of the low stress regime of the critical
stress distribution and \(\tau\) is the scaling exponent for intermittent plastic strain
activity. This quite general derivation supports the experimental observation that
the size effect paradigm is applicable to a wide range of materials, differing in
crystal structure, internal microstructure and external sample geometry.