The Experts below are selected from a list of 3105 Experts worldwide ranked by ideXlab platform
L. Thevenot - One of the best experts on this subject based on the ideXlab platform.
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On discontinuous Galerkin and discrete ordinates approximations for neutron transport equation and the critical eigenvalue.
2010Co-Authors: Mohammad Asadzadeh, L. ThevenotAbstract:The objective of this paper is to give a mathematical framework for a fully discrete numerical approach for the study of the neutron transport equation in a cylindrical Domain (Container model,). More specifically, we consider the discontinuous Galerkin (DG) finite element method for spatial approximation of the mono-energetic, critical neutron transport equation in an infinite cylindrical Domain ωin R3 with a polygonal convex cross-section ω The velocity discretization relies on a special quadrature rule developed to give optimal estimates in discrete ordinate parameters compatible with the quasi-uniform spatial mesh. We use interpolation spaces and derive optimal error estimates, up to maximal available regularity, for the fully discrete scalar flux. Finally we employ a duality argument and prove superconvergence estimates for the critical eigenvalue.
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On discontinuous Galerkin and discrete ordinates approximations for neutron transport equation and the critical eigenvalue
2009Co-Authors: Mohammad Asadzadeh, L. ThevenotAbstract:The objective of this paper is to give a mathematical framework for a fully discrete numerical approach for the study of the neutron transport equation in a cylindrical Domain (Container model). More specifically, we consider the discontinuous Galerkin (DG) finite element method for spatial approximation of the mono-energetic, critical neutron transport equation in an infinite cylindrical Domain e Ω in R3 with a polygonal convex cross-section Ω. The velocity discretization relies on a special quadrature rule developed to give optimal estimates in discrete ordinate parameters compatible with the quasi-uniform spatial mesh. We use interpolation spaces and derive optimal error estimates, up to maximal available regularity, for the fully discrete scalar flux. Finally we employ a duality argument and prove superconvergence estimates for the critical eigenvalue.
Mohammad Asadzadeh - One of the best experts on this subject based on the ideXlab platform.
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On discontinuous Galerkin and discrete ordinates approximations for neutron transport equation and the critical eigenvalue.
2010Co-Authors: Mohammad Asadzadeh, L. ThevenotAbstract:The objective of this paper is to give a mathematical framework for a fully discrete numerical approach for the study of the neutron transport equation in a cylindrical Domain (Container model,). More specifically, we consider the discontinuous Galerkin (DG) finite element method for spatial approximation of the mono-energetic, critical neutron transport equation in an infinite cylindrical Domain ωin R3 with a polygonal convex cross-section ω The velocity discretization relies on a special quadrature rule developed to give optimal estimates in discrete ordinate parameters compatible with the quasi-uniform spatial mesh. We use interpolation spaces and derive optimal error estimates, up to maximal available regularity, for the fully discrete scalar flux. Finally we employ a duality argument and prove superconvergence estimates for the critical eigenvalue.
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On discontinuous Galerkin and discrete ordinates approximations for neutron transport equation and the critical eigenvalue
2009Co-Authors: Mohammad Asadzadeh, L. ThevenotAbstract:The objective of this paper is to give a mathematical framework for a fully discrete numerical approach for the study of the neutron transport equation in a cylindrical Domain (Container model). More specifically, we consider the discontinuous Galerkin (DG) finite element method for spatial approximation of the mono-energetic, critical neutron transport equation in an infinite cylindrical Domain e Ω in R3 with a polygonal convex cross-section Ω. The velocity discretization relies on a special quadrature rule developed to give optimal estimates in discrete ordinate parameters compatible with the quasi-uniform spatial mesh. We use interpolation spaces and derive optimal error estimates, up to maximal available regularity, for the fully discrete scalar flux. Finally we employ a duality argument and prove superconvergence estimates for the critical eigenvalue.
Stapley, Lee D. - One of the best experts on this subject based on the ideXlab platform.
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Minimodal: Dimensional Domain of Miniature Shipping Containers for Intermodal Freight Transportation
Scholarship & Creative Works @ Digital UNC, 2018Co-Authors: Stapley, Lee D.Abstract:This study explores the feasibility of miniature shipping Container usage within existing intermodal transportation (IT) supply chains. Smaller intermodal Container shipments may help realign freight shipments with the most efficient transportation mode, rail. These Containers embolden the dimensional Domain (DD) of shipping. The shipping Container dimensional Domain (Container size variation and modal fluidity) is widespread and results in shipments that are often larger or more infrequent than needed. The DD impacts: transport mode, shipping frequency, shipment velocity, intermodal supply chain accessibility, and regional shipping networks. This study suggests that Container size impacts the DD and, therefore, mode choice. As miniature shipping Containers may be used to delineate between large and one-off specialized shipments, inventories are leaned out and warehousing functions shift towards the supply chain. Several organizations may be affected such as ports, railroads, over-the-road and less-than-truckload trucking companies, shippers, buyers, and trans-loading facilities. Therefore, this paper will explore Minimodal’s (MM) integrational feasibility with an evaluation of rail efficiency over trucking efficiency, standard operating procedures, and the emboldening of the dimensional Domain. Additionally, future research efforts may further examine the dimensional Domain of shipping, and to what extent Container size impacts mode choice. Keywords: Intermodal, intermodal transportation, miniature shipping Container(s), Minimodal, dimensional Domain of shipping, twenty-foot equivalent (TEU), velocity, Container size optimization, trans-load(ing), feasibility, OTR and LTL trucking, lumpy shipments, transportation sharing
Stapley Lee - One of the best experts on this subject based on the ideXlab platform.
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Minimodal: Dimensional Domain of Miniature Shipping Containers for Intermodal Freight Transportation
Scholarship & Creative Works @ Digital UNC, 2019Co-Authors: Stapley LeeAbstract:This study explores the feasibility of miniature shipping Container usage within existing intermodal transportation (IT) supply chains. Smaller intermodal Container shipments may help realign freight shipments with the most efficient transportation mode, rail. These Containers embolden the dimensional Domain (DD) of shipping. The shipping Container dimensional Domain (Container size variation and modal fluidity) is widespread and results in shipments that are often larger or more infrequent than needed. The DD impacts transport mode, shipping frequency, shipment velocity, intermodal supply chain accessibility, and regional shipping networks. This study suggests that Container size impacts the DD and, therefore, mode choice. As miniature shipping Containers may be used to delineate between large and one-off specialized shipments, inventories are leaned out and warehousing functions shift towards the supply chain. Several organizations may be affected such as ports, railroads, over-the-road and less-than-truckload trucking companies, shippers, buyers, and trans-loading facilities. Therefore, this paper will explore Minimodal’s (MM) integrational feasibility with an evaluation of rail efficiency over trucking efficiency, standard operating procedures, and the emboldening of the dimensional Domain. Additionally, future research efforts may further examine the dimensional Domain of shipping and to what extent Container size impacts mode choice
Jose Antonio Marmolejo - One of the best experts on this subject based on the ideXlab platform.
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Decomposition Algorithm for Irregular Placement Problems
Advances in Intelligent Systems and Computing, 2019Co-Authors: Tatiana Romanova, Yu. G. Stoyan, A. V. Pankratov, Igor Litvinchev, Jose Antonio MarmolejoAbstract:A placement problem of irregular 2D&3D objects in a Domain (Container) of minimum area (volume), that related to the field of Packing and Cutting problems is considered. Placement objects may be continuously translated and rotated. A general nonlinear programming model of the problem is presented employing the phi-function technique. We propose a decomposition algorithm that generalizes previously published compaction algorithms of searching for local optimal solutions for some packing and cutting problems. Our decomposition algorithm reduces the optimization placement problem to a sequence of nonlinear programming subproblems of considerably smaller dimension.