Abstract
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).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bustamante M, Gianeselli L (1982) Pile bearing capacity prediction by means of static penetrometer CPT. Proceedings of the second European symposium on penetration testing, Amsterdam, pp 493–500
Marchetti S, Monaco P, Totani G, Calabrese M (2001) The flat dilatometer test (DMT) in soil investigations. In-Situ 2001, international conference on in situ measurement of soil properties, 95–131
Arroyo M, Mateos T (2006) Embankment design with DMT and CPTu: prediction and performance. Proceedings from the Second International Flat Dilatometer Conference, January 2006, 62–68
Monaco P, Totani G, Calabrese M (2006) DMT-predicted vs. observed settlements: a review of the available experience. In: Proceedings of the 2nd international flat dilatometer conference, Washington D.C., April 2006, pp 244–252
Robertson PK (2017) Closure to “CPT-DMT correlations ” by P . K . Robertson Discussion of “ CPT-DMT Correlations ” by. April 2011. https://doi.org/10.1061/(ASCE)GT.19435606.0000488 (Robertson, 2009a)
Robertson PK (2009) Interpretation of cone penetration tests—a unified approach. Can Geotech J 46(11):1337–1355. https://doi.org/10.1139/t09-065
Ching J, Phoon K, Chen C (2014) Modeling piezocone cone penetration (CPTU) parameters of clays as a multivariate normal distribution, 77–91
Collico S, Arroyo M, Deu A, Devincenzi M, Rodriguez A (2020) Semi-automated probabilistic soil profiling using CPTu. 6th international conference on geotechnical and geophysical site charcterisation
Collico S, Arroyo M, Deu A, Devincenzi M, Rodriguez A (2022) Probabilisitc delineation of soil layers Soil behaviour Type Index IC. 5th symposium on cone penetration testing-bologna (in review)
Ganju E, Prezzi M, Salgado R (2017) Algorithm for generation of stratigraphic profiles using cone penetration test data. Comput Geotech 90:73–84
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Collico, S., Arroyo, M., Deu, A. (2023). Probabilistic Interpretation of CPTu-DMT Data for Soil Profiling. In: Atalar, C., Çinicioğlu, F. (eds) 5th International Conference on New Developments in Soil Mechanics and Geotechnical Engineering. ZM 2022. Lecture Notes in Civil Engineering, vol 305. Springer, Cham. https://doi.org/10.1007/978-3-031-20172-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-031-20172-1_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-20171-4
Online ISBN: 978-3-031-20172-1
eBook Packages: EngineeringEngineering (R0)