Strength distribution of repeatedly broken chains
Michael Wilkinson, Bernhard Mehlig
TL;DR
This paper investigates the probability distribution of breaking strengths in chains of N links, created by repeatedly breaking a very long chain, providing insights into their failure characteristics.
Contribution
It introduces a method to determine the strength distribution of chains after multiple breakings, a novel approach in chain failure analysis.
Findings
Derived the probability distribution for chain breaking strength.
Analyzed how repeated breaking affects chain strength.
Provided a mathematical model for chain failure behavior.
Abstract
We determine the probability distribution of the breaking strength for chains of N links, which have been produced by repeatedly breaking a very long chain.
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