Identification of hydraulic conductivities tensor for heterogeous confined aquifers using swarm intelligence / Mebarka Djeradi 

Public ISBD Titre : Identification of hydraulic conductivities tensor for heterogeous confined aquifers using swarm intelligence Type de document : texte manuscrit Auteurs : Mebarka Djeradi, Auteur ; Walid Tadj, Directeur de thèse ; Kaddour Mouattah, Directeur de thèse Editeur : Laghouat : Université Amar Telidji - Département de génie civil Année de publication : 2021 Importance : 55 p. Format : 30 cm. Accompagnement : 1 disque optique numérique (CD-ROM) Note générale : Option : Ressources hydrauliques Langues : Anglais Mots-clés : Inverse-problems  Crow search algorithm  Automatic calibration  Tensor of hydraulic conductivities  Problèmes inverses  Calage automatique  Tenseur des conductivités hydrauliques Résumé : The identification of spatially distributed hydraulic conductivities belongs to the inverse problems which are complex, highly nonlinear and cannot be effectively solved using traditional optimization techniques. The use of stochastic optimization techniques is, therefore,more interesting. As such, the present study proposes a linked optimization-simulation approach for estimating hydraulic conductivities of confined heterogeneous aquifers. This linkage is based on combining a recent swarm optimization technique called crow search algorithm (CSA) with a finite element model. Here, the role of CSA is to estimate the optimal set of hydraulic conductivities that minimize an objective function that measures the discrepancy between the measured hydraulic heads and those computed by the finite element model. The effectiveness of our approach was tested on three synthetic aquifer problems under both known and unknown boundary conditions. The obtained results were found satisfactory even under noisy hydraulic heads measurement. note de thèses : Mémoire de master en génie civil Identification of hydraulic conductivities tensor for heterogeous confined aquifers using swarm intelligence [texte manuscrit] / Mebarka Djeradi, Auteur ; Walid Tadj, Directeur de thèse ; Kaddour Mouattah, Directeur de thèse . - Laghouat : Université Amar Telidji - Département de génie civil, 2021 . - 55 p. ; 30 cm. + 1 disque optique numérique (CD-ROM). Option : Ressources hydrauliques Langues : Anglais Mots-clés : Inverse-problems  Crow search algorithm  Automatic calibration  Tensor of hydraulic conductivities  Problèmes inverses  Calage automatique  Tenseur des conductivités hydrauliques Résumé : The identification of spatially distributed hydraulic conductivities belongs to the inverse problems which are complex, highly nonlinear and cannot be effectively solved using traditional optimization techniques. The use of stochastic optimization techniques is, therefore,more interesting. As such, the present study proposes a linked optimization-simulation approach for estimating hydraulic conductivities of confined heterogeneous aquifers. This linkage is based on combining a recent swarm optimization technique called crow search algorithm (CSA) with a finite element model. Here, the role of CSA is to estimate the optimal set of hydraulic conductivities that minimize an objective function that measures the discrepancy between the measured hydraulic heads and those computed by the finite element model. The effectiveness of our approach was tested on three synthetic aquifer problems under both known and unknown boundary conditions. The obtained results were found satisfactory even under noisy hydraulic heads measurement. note de thèses : Mémoire de master en génie civil

Réservation

Réserver ce document

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
MGC 03-60	MGC 03-60	Thése	BIBLIOTHEQUE DE GENIE CIVIL ET D'ARCHITECTURE	Thèses (gca)	Disponible

Documents numériques

http://dspace.lagh-univ.dz/handle/123456789/5481 URL

---

page 1/1