Probabilistic Interpretation of CPTu-DMT Data for Soil Profiling

Cone Penetration Test (CPTu) and flat Dilatometer Test (DMT) are widely employed in-situ tests for ground unit profiling in terms of Soil Behavior Type Index IC and Material Index ID. CPTu provides a nearly continuous data profile with respect to DMT, making it more appealing for soil unit identification, leaving DMT data for qualitative comparison. This work proposes a first attempt of integrating CPTu-DMT data within soil profiling task, aiming to probabilistic assess congruence and discrepancy between the two sets of data. A semi-automated CPTu-DMT bivariate data interpretation tool is here presented aiming to facilitate communication of layer delimitation while eliciting the heuristics that designers apply in this process. Conventional classification class boundaries –here taken from (Robertson, 2009) and Marchetti, (2001) chart– are applied with user-specified refinements. The proposed algorithm is applied to CPTu and DMT sounding records performed at Barcelona harbor (Spain).