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3,521 to 3,530 of 8,622 Results

Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Aug 14, 2020 Strand, Andreas, 2020, "Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow", https://doi.org/10.18710/OWKABR, DataverseNO, V2 Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model. The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two. Both Monte Carlo simulations and polynomial chaos expans...
00_ReadMe.txt Aug 14, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 753 B - MD5: 7439f2f3b91c4df7ee808e332978a236
mc_functions.py Jan 30, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 7.3 KB - MD5: 6751ae5a7540b238c0e2024ac12485a2
mc_input.py Jan 30, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 355 B - MD5: 0fb6848b735ad7ab9209c192abd0fef9
mc.py Jan 30, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 353 B - MD5: e995d5f332792b25518c6ef4de7bf525
pc_functions.py Jan 30, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 7.8 KB - MD5: 03cf469af4103c39cdfc0942edb5246e
pc_input.py Jan 30, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 370 B - MD5: 61e61daa130e8a1cc148554ad6ce64cf
pc.py Jan 30, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 330 B - MD5: 890f3e6dfc2368c1253cb89f561e9ad5
pc_setup.py Jan 30, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 794 B - MD5: a8ad57e1ee33b4b3829f521edcb5f6cd
plot_functions.py Aug 14, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow Plain Text - 14.0 KB - MD5: 672f497576edbe494291cf3ad13d62ed

Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Aug 14, 2020

Strand, Andreas, 2020, "Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow", https://doi.org/10.18710/OWKABR, DataverseNO, V2

Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model. The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two. Both Monte Carlo simulations and polynomial chaos expans...

00_ReadMe.txt

Aug 14, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Plain Text - 753 B -

mc_functions.py

Jan 30, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Plain Text - 7.3 KB -

mc_input.py

Jan 30, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Plain Text - 355 B -

mc.py

Jan 30, 2020 - Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Plain Text - 353 B -