Koupriantchik, D 2026, 'Development of a probabilistic performance assessment method for frictional anchors ', in D Cumming-Potvin & J Wesseloo (eds), Ground Support 2026: Proceedings of the 11th International Conference on Ground Support in Mining, Australian Centre for Geomechanics, Perth, pp. 1-8, https://doi.org/10.36487/ACG_repo/2625_02
(https://papers.acg.uwa.edu.au/p/2625_02_Koupriantchik/)
Abstract: The traditional approach to performance assessment of frictional anchors involves campaign pull testing of recently installed bolts, where the results are sorted into pass/fail categories usually based on a set nominal pull resistance value. A detailed analysis of the pull-out data was undertaken at a Western Australian underground mine during a supplier change. The results showed that the distribution of pull testing results has a distinct bi-modal appearance. This paper offers a simple explanation of the mechanism causing the bimodality and describes the new approach to recording and processing of the pull testing results, adopted at the mine. Also, a model for performance simulation and acceptability criteria are discussed. The proposed interpretation of the pull testing results as a combination of 2 groups, each following a normal distribution, and allows for use of the results in a probabilistic analysis of ground support performance. 

Keywords: friction bolt, split set, testing, performance