3D-electrical resistivity tomography monitoring of salt transport in homogeneous and layered soil samples

Comina, Cesare; Cosentini, Renato Maria; Vecchia, Gabriele Della; Foti, Sebastiano; Musso, Guido

doi:10.1007/s11440-011-0146-3

Cited by 24 publications

(7 citation statements)

References 19 publications

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“…Previous studies have demonstrated the feasibility of EIT to qualitatively image unsaturated moisture flows in porous media. Such research includes: 1D and 2D unsaturated moisture flow in soil [38,39,40,41] and cement-based material [42,43,37,15], as well as 3D moisture flow in sand [44], sandstone [45], soil [46] and cement-based materials [36]. In all these works, (the spatial map of) the increase of the moisture content with respect to some initial state was inferred qualitatively x, y, z spatial coordinates from a relative increase in the electrical conductivity (or decrease in the electrical resistivity) distribution.…”

Section: Introductionmentioning

confidence: 99%

Quantitative electrical imaging of three-dimensional moisture flow in cement-based materials

Smyl

Hallaji

Seppänen

et al. 2016

International Journal of Heat and Mass Transfer

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The presence of moisture significantly affects the mechanical, hydraulic, chemical, electrical, and thermal properties of cement-based and other porous materials, and therefore, methods for detecting and quantifying the moisture ingress in these materials are needed. Recent research studies have shown that the ingress of moisture in porous materials can be qualitatively imaged with Electrical Impedance Tomography (EIT)an imaging modality which uses electrical measurements from object's surface to reconstruct the electrical conductivity distribution inside the object. The aim of this study is to investigate whether EIT could image the three-dimensional volumetric moisture content within cement-based materials quantitatively. For this aim, we apply the so-called absolute imaging scheme to the EIT image reconstruction, and use an experimentally developed model for converting the electrical conductivity distribution to volumetric moisture content. The results of the experimental studies support the feasibility of EIT for quantitative imaging of three-dimensional moisture flows in cement-based materials.

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Section: Introductionmentioning

confidence: 99%

Quantitative electrical imaging of three-dimensional moisture flow in cement-based materials

Smyl

Hallaji

Seppänen

et al. 2016

International Journal of Heat and Mass Transfer

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“…The reconstructed electrical conductivity field is then obtained. ERT has been successfully used to detect heterogeneities [9], or to visualize mechanical and transport processes in soil samples [10], also allowing estimating the water retention and hydraulic properties of different soils [11]. It also has been fruitfully used to investigate moisture movement in cement, both undamaged [12] -thus allowing to study the homogeneous behaviour of the material matrix -and cracked [13].…”

Section: Electrical Resistivity Tomographymentioning

confidence: 99%

Monitoring drying and wetting of a cement bentonite mixture with Electrical Resistivity Tomography

et al. 2020

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Cement bentonite slurry cutoff walls are used to encapsulate pollutants within contaminated areas, so avoiding their spreading in the environment. In both temperate and arid climates, at shallow depths, slurry walls are exposed to interaction with the atmosphere and thus to relative humidity values which might induce desaturation and significant shrinkage. This note presents the main results of a study aimed at investigating the impact of drying processes on the integrity and the hydraulic performance of cement bentonite slurry walls. Cement bentonite samples were cured under water for different times (1 months, 2 months and 4 months) and then dried naturally by exposing them to the laboratory environment (T = 21 °C, relative humidity approximately 38%). Once dried, the bottom of the samples was placed in contact with a thin layer of water to induce wetting. The distribution of the electrical conductivity within these samples was evaluated through Electrical Resistivity Tomography measurements, and electrical conductivity maps were converted then into maps of water contents on basis of a phenomenological relationship. The reconstructed water contents compared very well to the measured ones. Drying induced a limited cracking of the samples, which might affect to some extent the hydraulic performance of the barriers.

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“…There is a broad range of applications of EIT to many settings, including the detection of bodily tumors, damaged industrial materials, and oil reservoirs to mention a few. More specifically, EIT has been applied in some of the following applications: noninvasive medical imaging [7,64], nondestructive testing [26], monitoring of oil and gas mixtures in oil pipelines [47], and monitoring the water infiltration in soil [13,23,25,26]. However, along with its ease of use comes the difficulty in recovering resolvable and reliable tomographic images.…”

Section: Introductionmentioning

confidence: 99%

A Krylov subspace type method for Electrical Impedance Tomography

et al. 2021

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Electrical Impedance Tomography (EIT) is a well-known imaging technique for detecting the electrical properties of an object in order to detect anomalies, such as conductive or resistive targets. More specifically, EIT has many applications in medical imaging for the detection and location of bodily tumors since it is an affordable and non-invasive method, which aims to recover the internal conductivity of a body using voltage measurements resulting from applying low frequency current at electrodes placed at its surface. Mathematically, the reconstruction of the internal conductivity is a severely ill-posed inverse problem and yields a poor quality image reconstruction. To remedy this difficulty, at least in part, we regularize and solve the nonlinear minimization problem by the aid of a Krylov subspace-type method for the linear sub problem during each iteration. In EIT, a tumor or general anomaly can be modeled as a piecewise constant perturbation of a smooth background, hence, we solve the regularized problem on a subspace of relatively small dimension by the Flexible Golub-Kahan process that provides solutions that have sparse representation. For comparison, we use a well-known modified Gauss-Newton algorithm as a benchmark. Using simulations, we demonstrate the effectiveness of the proposed method. The obtained reconstructions indicate that the Krylov subspace method is better adapted to solve the ill-posed EIT problem and results in higher resolution images and faster convergence compared to reconstructions using the modified Gauss-Newton algorithm.

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3D-electrical resistivity tomography monitoring of salt transport in homogeneous and layered soil samples

Cited by 24 publications

References 19 publications

Quantitative electrical imaging of three-dimensional moisture flow in cement-based materials

Quantitative electrical imaging of three-dimensional moisture flow in cement-based materials

Monitoring drying and wetting of a cement bentonite mixture with Electrical Resistivity Tomography

A Krylov subspace type method for Electrical Impedance Tomography

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