This dissertation investigates the groutability of dam foundation rock masses through an integrated analysis of hydrogeological parameters, discontinuity characteristics, and grout take, with the overarching goal of establishing a quantitative, data-d...
This dissertation investigates the groutability of dam foundation rock masses through an integrated analysis of hydrogeological parameters, discontinuity characteristics, and grout take, with the overarching goal of establishing a quantitative, data-driven framework for grouting design and evaluation. Recognizing the limitations of empirically based grouting practices traditionally employed in Korea, the research advances the foundation treatment process from experience-oriented decision-making toward scientifically grounded, correlation-based methodologies. The approach combines a comprehensive literature review, multi-site field data analysis, and statistical validation using datasets from fourteen dam sites across South Korea. In Chapter 2, international and domestic research trends on groutability prediction are systematically reviewed. The analysis reveals consistent relationships among key indices: grout take showed negative correlations with Rock Quality Designation (RQD), Q-value and Geological Strength Index (GSI) and positive correlations with Lugeon value (Lu) and Secondary Permeability Index (SPI). Among these, SPI demonstrates the most robust predictive capability for assessing rock permeability and injectability, and its classification scheme provides a rational basis for foundation grouting design. Chapter 3 extends this framework to empirical application using data from 182 boreholes and 393 water pressure tests across fourteen dam foundations. Correlation analyses were first conducted to examine the relationships among hydrogeological and structural parameters with grout take. Principal component analysis (PCA) was then conducted to extract the factors primarily contributing to grout intake. Based on this analytical insight, an SPI-oriented grouting design framework was formulated and subsequently validated against measured curtain-grouting performance, demonstrating its utility as a predictive and planning tool for foundation treatment. Chapter 4 further explores lithology-dependent variations in groutability using borehole and hydraulic test data from five representative dam foundations underlain by granitic gneiss, mica schist, hornfels, granite porphyry, and granite. Statistically significant negative correlations were consistently observed between RQD and hydrogeological indices (Lu and SPI), with SPI once again emerging as the most reliable indicator of grout take. The results demonstrate that lithological variability exerts a substantial influence on the magnitude and nature of these correlations. Accordingly, a new set of evaluation indices based on the RQD–SPI relationship is proposed to establish a systematic and transferable framework for dam foundation grouting under diverse geological conditions. Collectively, the findings presented in this dissertation provides a quantitative foundation for grout design in rock masses and advances understanding of the link between discontinuity development and secondary permeability. This framework enhances prediction accuracy, reduces uncertainty, and strengthens the theoretical and practical basis for foundation treatment in dam engineering.