Contribution to probabilistic modeling of soil geo-mechanical properties for structural reliability analysis of buried pipes and foundations
This present study synthesizes a numerical approach to optimize foundation systems design and underground pipes based on the combination of elastoplastic soil behavior and probabilistic modeling of its geo-mechanical characteristics. Also, this work allows quantifying the effects of soil spatial var...
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Mouloud Mammeri University of Tizi-Ouzou
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doaj-5f53834f31bf470b95c9bb5b3e28df292020-11-25T00:29:47ZengMouloud Mammeri University of Tizi-OuzouJournal of Materials and Engineering Structures2170-127X2019-08-01622492581455Contribution to probabilistic modeling of soil geo-mechanical properties for structural reliability analysis of buried pipes and foundationsNabil KAZI TANI0Djamel NEDJAR1Tawfik TAMINEMabrouk HAMANE2École Supérieure des Sciences et Appliquées de Tlemcen, Bel Horizon, 13000, Tlemcen, AlgérieLaboratoire LM2SC, Faculté d’Architecture et de Génie Civil, Université des sciences et de la technologie d’Oran Mohamed Boudiaf, 1505 El M’NAOUER 31000 Oran, Algérie.Laboratoire LM2SC, Faculté d’Architecture et de Génie Civil, Université des sciences et de la technologie d’Oran Mohamed Boudiaf, 1505 El M’NAOUER 31000 Oran, Algérie.This present study synthesizes a numerical approach to optimize foundation systems design and underground pipes based on the combination of elastoplastic soil behavior and probabilistic modeling of its geo-mechanical characteristics. Also, this work allows quantifying the effects of soil spatial variability on the mechanical and structural reliability of civil engineering infrastructures anchored at shallow depths in the ground. The illustrated simulations are based on simultaneous combination of the elastoplastic soil behavior and its spatial variability. The obtained results show that the probabilistic analysis of the spatial variability of soil properties into structure numerical modeling has a significant effect on the structural responses of civil engineering infrastructures, mainly if the structure length is relatively significant.http://revue.ummto.dz/index.php/JMES/article/view/1852Civil EngineeringStructural ModellingStructural Engineering |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nabil KAZI TANI Djamel NEDJAR Tawfik TAMINE Mabrouk HAMANE |
spellingShingle |
Nabil KAZI TANI Djamel NEDJAR Tawfik TAMINE Mabrouk HAMANE Contribution to probabilistic modeling of soil geo-mechanical properties for structural reliability analysis of buried pipes and foundations Journal of Materials and Engineering Structures Civil Engineering Structural Modelling Structural Engineering |
author_facet |
Nabil KAZI TANI Djamel NEDJAR Tawfik TAMINE Mabrouk HAMANE |
author_sort |
Nabil KAZI TANI |
title |
Contribution to probabilistic modeling of soil geo-mechanical properties for structural reliability analysis of buried pipes and foundations |
title_short |
Contribution to probabilistic modeling of soil geo-mechanical properties for structural reliability analysis of buried pipes and foundations |
title_full |
Contribution to probabilistic modeling of soil geo-mechanical properties for structural reliability analysis of buried pipes and foundations |
title_fullStr |
Contribution to probabilistic modeling of soil geo-mechanical properties for structural reliability analysis of buried pipes and foundations |
title_full_unstemmed |
Contribution to probabilistic modeling of soil geo-mechanical properties for structural reliability analysis of buried pipes and foundations |
title_sort |
contribution to probabilistic modeling of soil geo-mechanical properties for structural reliability analysis of buried pipes and foundations |
publisher |
Mouloud Mammeri University of Tizi-Ouzou |
series |
Journal of Materials and Engineering Structures |
issn |
2170-127X |
publishDate |
2019-08-01 |
description |
This present study synthesizes a numerical approach to optimize foundation systems design and underground pipes based on the combination of elastoplastic soil behavior and probabilistic modeling of its geo-mechanical characteristics. Also, this work allows quantifying the effects of soil spatial variability on the mechanical and structural reliability of civil engineering infrastructures anchored at shallow depths in the ground. The illustrated simulations are based on simultaneous combination of the elastoplastic soil behavior and its spatial variability. The obtained results show that the probabilistic analysis of the spatial variability of soil properties into structure numerical modeling has a significant effect on the structural responses of civil engineering infrastructures, mainly if the structure length is relatively significant. |
topic |
Civil Engineering Structural Modelling Structural Engineering |
url |
http://revue.ummto.dz/index.php/JMES/article/view/1852 |
work_keys_str_mv |
AT nabilkazitani contributiontoprobabilisticmodelingofsoilgeomechanicalpropertiesforstructuralreliabilityanalysisofburiedpipesandfoundations AT djamelnedjar contributiontoprobabilisticmodelingofsoilgeomechanicalpropertiesforstructuralreliabilityanalysisofburiedpipesandfoundations AT tawfiktamine contributiontoprobabilisticmodelingofsoilgeomechanicalpropertiesforstructuralreliabilityanalysisofburiedpipesandfoundations AT mabroukhamane contributiontoprobabilisticmodelingofsoilgeomechanicalpropertiesforstructuralreliabilityanalysisofburiedpipesandfoundations |
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1725329956361207808 |