Recent years have seen rapid theoretical developments on the characterization and evaluation of geotechnical uncertainty, and probabilistic analysis or data analytics approach to quantify uncertainty in system performance. A good way to bridge the gap between research and practice is to demonstrate how these new approaches can benefit the engineering practice in projects of slope engineering, foundations, tunnels and deep excavations, or other areas of geotechnical engineering. This special session aims to promote the sharing of data and experience related to the application of probabilistic analysis methods or risk assessment approaches in case studies. In particular, it is of interest to showcase how reliability analysis and risk assessment impact the decision-making process in these cases. Relevant topics may include probabilistic site characterization from project data, quantification of uncertainties in performance prediction, reliability-based design, risk-based decision analysis, calibration of LRFD-type geotechnical design codes, project risk management and risk-based decision analysis. Probabilistic back-analyses of projects with measurement data are also welcome.
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