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Publication Year: 2024

46,331 to 46,340 of 46,483 Results

cubic_datasets.tar Jan 11, 2024 - Replication Data for: Constraint-aware neural networks for Riemann problems TAR Archive - 760.0 KB - MD5: ba5bd990d605c0ac0c59de0b2a6ad895
euler_datasets.tar Jan 11, 2024 - Replication Data for: Constraint-aware neural networks for Riemann problems TAR Archive - 20.7 MB - MD5: 9bb9e60e0ecc41870542c44612b9534a
iso_euler_datasets.tar Jan 11, 2024 - Replication Data for: Constraint-aware neural networks for Riemann problems TAR Archive - 6.6 MB - MD5: 0ea50573c5d33f004f7f77b6605b40eb
README.md Jan 11, 2024 - Replication Data for: Constraint-aware neural networks for Riemann problems Markdown Text - 1.8 KB - MD5: e76e479af26b075f6e89bb2ea3ea098d
Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres Jan 10, 2024 - EXC IntCDC Research Project 1 'Functionally Graded Concrete Building System – Design, Optimisation, Digital Production and Reuse' Strahm, Benedikt; Haufe, Carl; Blandini, Lucio, 2024, "Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres", https://doi.org/10.18419/DARUS-3875, DaRUS, V1 Addendum to the corresponding paper. The paper describes numerical and experimental investigations of functionally graded concrete beams subjected to three-point bending tests to determine their shear capacity. The data set includes: diagrams/ Values for the load-deformation curve of the numerical simulation used to perform the described mesh study...
abq_coarse.inp Jan 10, 2024 - Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres Unknown - 3.7 MB - MD5: 5d872af3d07b72e8c2f62798bf8f349c Abaqus .inp file that allows the reproduction of the described numerical simulation
abq_fine.inp Jan 10, 2024 - Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres Unknown - 25.2 MB - MD5: d487c94f4b769674e0bcb0ab9563c3f4 Abaqus .inp file that allows the reproduction of the described numerical simulation
abq_medium.inp Jan 10, 2024 - Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres Unknown - 9.9 MB - MD5: 666f9a449130aab6b002a70160e2e7e6 Abaqus .inp file that allows the reproduction of the described numerical simulation
abq_ultrafine_e_mod.inp Jan 10, 2024 - Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres Unknown - 66.0 MB - MD5: 0e08791a1a58806fd520995ec1d60632 Abaqus .inp file that allows the reproduction of the described numerical simulation
abq_ultrafine.inp Jan 10, 2024 - Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres Unknown - 66.0 MB - MD5: 75cbb045c3821a6f17fa60c86c510d1e Abaqus .inp file that allows the reproduction of the described numerical simulation

cubic_datasets.tar

Jan 11, 2024 - Replication Data for: Constraint-aware neural networks for Riemann problems

TAR Archive - 760.0 KB -

euler_datasets.tar

Jan 11, 2024 - Replication Data for: Constraint-aware neural networks for Riemann problems

TAR Archive - 20.7 MB -

iso_euler_datasets.tar

Jan 11, 2024 - Replication Data for: Constraint-aware neural networks for Riemann problems

TAR Archive - 6.6 MB -

README.md

Jan 11, 2024 - Replication Data for: Constraint-aware neural networks for Riemann problems

Markdown Text - 1.8 KB -

Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres

Jan 10, 2024 - EXC IntCDC Research Project 1 'Functionally Graded Concrete Building System – Design, Optimisation, Digital Production and Reuse'

Strahm, Benedikt; Haufe, Carl; Blandini, Lucio, 2024, "Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres", https://doi.org/10.18419/DARUS-3875, DaRUS, V1

Addendum to the corresponding paper. The paper describes numerical and experimental investigations of functionally graded concrete beams subjected to three-point bending tests to determine their shear capacity. The data set includes: diagrams/ Values for the load-deformation curve of the numerical simulation used to perform the described mesh study...

abq_coarse.inp

Jan 10, 2024 - Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres

Unknown - 3.7 MB -