Hydraulic conductivity in layered saturated soils assessed through a novel physical model

This paper introduces a novel physical model for measuring the hydraulic conductivity of granular materials in saturated conditions. An innovation in the location of the device’s piezometers allows the device to be used to assess the permeability of layered soils for both parallel and perpendicular...

Full description

Autores:
Dulcey-Leal, Eduardo
Molina-Gómez, Fausto Andrés
Bulla Cruz, Lenin Alexander
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/68497
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/68497
http://bdigital.unal.edu.co/69530/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
equivalent permeability coefficient
seepage
statistical analysis
t-test
análisis estadístico
coeficiente de permeabilidad equivalente
fitraciónte de permeabilidad equivalente
filtración
prueba-t
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:This paper introduces a novel physical model for measuring the hydraulic conductivity of granular materials in saturated conditions. An innovation in the location of the device’s piezometers allows the device to be used to assess the permeability of layered soils for both parallel and perpendicular flows. The model’s square section construction makes soil compaction easy. Design methodology took issues of construction, calibration and implementation into account. Permeability coefficients in directions parallel and perpendicular to soil stratification were measured, and Student’s t-test was performed for the relation of experimental results and existing numerical correlations. Analysis of the results shows that the physical model can replicate seepage in layered soils with parallel and perpendicular flows as occurs in field. Furthermore, it was found that it is possible to validate the experimental calibration data by use of statistical techniques.