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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Porous Media
Импакт фактор: 1.49 5-летний Импакт фактор: 1.159 SJR: 0.43 SNIP: 0.671 CiteScore™: 1.58

ISSN Печать: 1091-028X
ISSN Онлайн: 1934-0508

Выпуски:
Том 22, 2019 Том 21, 2018 Том 20, 2017 Том 19, 2016 Том 18, 2015 Том 17, 2014 Том 16, 2013 Том 15, 2012 Том 14, 2011 Том 13, 2010 Том 12, 2009 Том 11, 2008 Том 10, 2007 Том 9, 2006 Том 8, 2005 Том 7, 2004 Том 6, 2003 Том 5, 2002 Том 4, 2001 Том 3, 2000 Том 2, 1999 Том 1, 1998

Journal of Porous Media

DOI: 10.1615/JPorMedia.v16.i11.50
pages 1025-1034

DETERMINATION OF UNSATURATED HYDRAULIC PROPERTIES USING DRAINAGE GRAVITY TEST AND PARTICLE SWARM OPTIMIZATION ALGORITHM

Tarek Lazrag
Universite de Lyon, Ecole Nationale d'Ingenieurs de Saint-Etienne, Laboratoire de Tribologie et Dynamique des Systemes UMR 5.65 rue Jean Parrot, Saint Etienne 42100, France; Ecole Nationale d'Ingenieurs de Monastir, Unite de Recherche de Thermique
M. Kacem
Universite de Lyon, Ecole Nationale d'Ingenieurs de Saint-Etienne, Laboratoire de Tribologie et Dynamique des Systemes UMR 5.65 rue Jean Parrot, Saint Etienne 42100, France
Ph. Dubujet
Universite de Lyon, Ecole Nationale d'Ingenieurs de Saint-Etienne, Laboratoire de Tribologie et Dynamique des Systemes UMR 5.65 rue Jean Parrot, Saint Etienne 42100, France
Jalila Sghaier
Département d'Energétique, Ecole Nationale d'Ingénieurs de Monastir, Avenue Ibn Eljazzar, 5019 Monastir, Tunisie
Ahmed Bellagi
U. R. Thermique & Thermodynamique des Procédés Industriels, National Engineering School at Monastir E.N.I.M, Av. Ibn Jazzar, 5060 Monastir, Tunisia

Краткое описание

There are different tests to estimate the hydraulic parameters of the van Genuchten−Mualem model needed to simulate the flow in unsaturated porous media. In this paper it is shown that it is possible to identify all the hydraulic parameters of sand by using a unique column test, which is a gravity drainage test where only the flow-rate temporal evolution is measured. To do so, we use several tensiometers installed in different positions along the column to measure the pressure head inside the soil sample. Inverse analysis is performed thanks to the particle swarm optimization (PSO) algorithm and the finite element modeling of the column test. This optimization algorithm is easy to implement and is efficient for this strongly nonlinear problem. The identification is validated by using conventional tests such as the multi-step outflow test and the constant-head permeameter test.


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