Rock mass quality evalRock mass quality evaluation via statistically optimized geophysical datasets

摘要

Rock quality designation (RQD) is a critical geoengineering/geotechnical parameter for evaluating rock mass quality (RMQ),which is a preliminary construction decision-making tool. As a result, the soil-rock conditions of the southern part of PenangIsland, Malaysia, a typical tropical granitic terrain, were evaluated using integrated seismic P-wave velocity (Vp), electricalresistivity (р), and borehole-based RQD datasets. The regression analytical modeling technique was used to establish lithology-based correlations linking RQD with Vp and р data. The study aims to provide novel insights for estimating RQD fromVp and р based models to understand the RMQ, boundary conditions, and architecture of surficial-to-subsurface soil-rockprofiles for infrastructure design. In addition, methodological approaches and empirical relationships adaptable to graniticterrains for estimating RQD where borehole drillings are impossible are being developed. The р model provided significantresults in addressing the limitations of the seismic refraction method by accurately delineating soil-rock conditions withshallow overburden. The study area is characterized by residual soils and poorly weathered rocks, which are the rippable andunsuitable units for the placement of infrastructure foundations. However, the potential sections for foundation placementwere identified suitably on the integral/fresh bedrock between the depths of 8 m and 25 m in the study area. Reinforcedconcrete piling to fresh bedrock is most preferred. Most importantly, the empirical relations derived for RQD with Vp and рdata yielded strong correlations and potentially high prediction results, with R~2 values of 0.96 (96) to 0.99 (99). Generally,the research findings will considerably reduce the uncertainties and costs associated with borehole-based RQD evaluationfor large aerial extent investigations.