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International Journal of Energy for a Clean Environment

Publication de 8  numéros par an

ISSN Imprimer: 2150-3621

ISSN En ligne: 2150-363X

SJR: 0.597 SNIP: 1.456 CiteScore™:: 3.7 H-Index: 18

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EVALUATION OF PHYSICAL PROPERTIES OF POROUS MATERIAL BY NONDESTRUCTIVE ELECTRICAL METHODS

Volume 16, Numéro 1-4, 2015, pp. 29-42
DOI: 10.1615/InterJEnerCleanEnv.2016015462
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RÉSUMÉ

Long-term performance of a material used in the civil engineering (i.e., concrete or clay liners) should be studied preferably using in situ, nondestructive monitoring techniques. A nondestructive electrical test was carried out for a material with porosity varying between 0.1−0.4 in a continuous concentration diffusion of NaCl electrolyte. The work reported studied the spaciotemporal variation of the electrical conductivity (EC) in a diffusion column. The relationship between the interstitial pore fluid concentration of this material and the electrical conductivity of the solution has been established. The electrical conductivity of compacted specimens was measured with a two-electrode cell. A strong correlation was noted between the electrical conductivity and the porosity of the granular materials tasted, where the most important values were found for the high-porosity media. An exponential relationship between the chloride concentration and the EC has been established, and therefore it has been concluded that it is actually possible to estimate, at any time, the proportion of NaCl chlorine in a porous medium through simple electrical measurement. An important step in this work was the evaluation of the diffusion coefficient. Indeed, a multitude of tests have made it possible to confirm the efficiency of the chosen method in determining the porosity and diffusion coefficient through tortuosity. This work also permitted one to see the influence of tortuosity on the diffusion phenomena. The higher the tortuosity, the faster the diffusion, which offers a higher diffusion coefficient.

CITÉ PAR
  1. Maaoui Walaeddine , Lazhar Ramzi , Najjari Mustapha , SOIL MOISTURE RETRIEVAL MODEL BASED ON DIELECTRIC MEASUREMENTS AND ARTIFICIAL NEURAL NETWORK , Journal of Porous Media, 25, 8, 2022. Crossref

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