Industrial and government regulations on underground shaft steelwork operations require high maintenance standards; however, the design procedures are highly simplified, significant risk sources are not considered, and adequate reliability assessments are not involved. In this study, we deployed maintenance measurements of the guiding forces and corrosion loss for actual load effects and resistance representations in terms of probability distributions. This allowed the statistical generalization and fully probabilistic reliability analysis of the shaft guide track. The probability of failure was assessed through the numerical integration of the convolution inte-gral. Parametric analysis was performed for different guiding forces, corrosion loss, dynamic load characteristics, and limit states. The proposed procedures enable a fully probabilistic structural reliability assessment of shaft steelworks with respect to the design and operation factors that have been omitted so far. Therefore, the pro-posed methodology provides a modern tool for design and maintenance optimization during the shaft steelwork lifecycle.
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