The Resistivity Piezocone Penetration Test (RCPTU) for Quality Control of Geotechnical Ground Densification

Daniel, Chris R.; Howie, John A.; Campanella, Richard; Giacheti, Heraldo Luiz

doi:10.4133/1.2922599

Cited by 4 publications

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“…A cone penetrometer, commonly referred to as a cone, is a 36-mm diameter steel rod, ϳ1 m long, with sensors mounted close to a cone-shaped tip. Cone penetration testing ͑CPT͒, i.e., using the cone for subsurface characterization, is a technique that is now widely used in the environmental and geotechnical engineering community ͑Campanella and Weemees, 1990;Daniel et al, 1999͒. The technique is classified as minimally invasive, because instead of drilling a borehole to make subsurface measurements, a cone is pushed into unconsolidated materials using hydraulic rams mounted on a large truck, referred to as the cone truck.…”

Section: Introductionmentioning

confidence: 99%

Cone-based electrical resistivity tomography

2006

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Determining the 3D spatial distribution of subsurface properties is a challenging, but critical, part of managing the cleanup of contaminated sites. We have developed a minimally invasive technology that can provide information about the 3D distribution of electrical conductivity. The technique, cone-based electrical resistivity tomography ͑C-bert͒, integrates resistivity tomography with cone-penetration testing. Permanent current electrodes are emplaced in the subsurface and used to inject current into the subsurface region of interest. The resultant potential fields are measured using a surface reference electrode and an electrode mounted on a cone penetrometer. The standard suite of cone penetration measurements, including high-resolution resistivity logs, are also obtained and are an integral part of the C-bert method. C-bert data are inverted using an inexact Gauss-Newton algorithm to produce a 3D electrical conductivity map. A major challenge with the inversion is the large local perturbation around the measurement location, due to the highly conductive cone. As the cone is small with respect to the total model space, explicit modeling of the cone is cost prohibitive. We have developed a rapid method for solving the forward model which uses iteratively determined boundary conditions ͑IDBC͒. This allows us to generate a computationally feasible, preinversion correction for the cone perturbation. We assessed C-bert by performing a field test to image the conductivity structure of the Kidd 2 site near Vancouver, British Columbia. A total of nine permanent current electrodes were emplaced and five C-bert data sets were obtained, resulting in 6516 data points. These data were inverted to obtain a 3D conductivity image of the subsurface. Furthermore, we demonstrated, using a synthetic experiment, that C-bert can yield high quality electrical conductivity images in challenging field situations. We conclude that C-bert is a promising new imaging technique.

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