Uncertainty quantification for the mechanical behavior of fully grouted rockbolts subjected to pull-out tests. (May 2022)

• Record Type: Journal Article
• Authors: Zhang, Lin; Wang, Meng; Zhao, Hongbo; Chang, Xu
• Is Part Of: Computers and geotechnics. Volume 145(2022)
• Publication Date: 2022-05
• Subjects: Fully grouted rockbolts -- Uncertainty quantification -- Mechanical model -- Pull-out test; Engineering geology -- Data processing -- Periodicals; Soil mechanics -- Data processing -- Periodicals; Rock mechanics -- Data processing -- Periodicals; 624.1510285
• DOI: 10.1016/j.compgeo.2022.104665
• Languages: English
• ISSNs: 0266-352X

Abstract

Abstract: An uncertainty quantification method that integrates experimental data, rockbolt properties, and a mechanical model of rockbolts using the Markov chain Monte Carlo method was developed to consider the uncertainties in rockbolt performance by combining the Bayesian method and data from two rockbolt pull-out tests. The predicted axial force, axial strain, and shear stress along the rockbolt/grout interface agreed closely with the tests. The results showed that the developed method quantifies the uncertainty and significantly improves the understanding of the mechanical mechanism of rockbolts.