Uncertainty in the early stage assessment of surface structure damage caused by tunneling-induced ground movements is analyzed with a Monte-Carlo method and a numerical model for tunnel-soil-structure interaction. The sources of uncertainty in tunneling-induced ground movements are quantified using field monitoring data, and the uncertainties in soil and structure properties are characterized from published experimental tests and empirical analyses. Then, a probabilistic assessment method to analyze structural damage is proposed and demonstrated by two case studies. Variance-based sensitivity analysis and factor mapping analysis are conducted to demonstrate how the method can identify dominant sources of damage assessment uncertainty. For both case studies, volume loss was found to contribute most to the uncertainty in building damage prediction; the contribution of other parameters varies significantly for different tunneling scenarios. However, the factor mapping analysis shows that the uncertainty of building properties and ground movements are almost equally responsible for the uncertainty in structural damage. More generally, the results lay the foundation for a performance-based design method to evaluate potential structural damage and to plan mitigation procedures in future tunneling projects.

The data is a collection of the analysis result of the case studies and parametric studies through the proposed probabilistic assessment framework of surface structure damage caused by tunnel induced ground movements. 

Please refer to the README file in the dataset.