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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow |
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Identification Number: |
doi:10.18710/OWKABR |
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Distributor: |
Social Sciences and Digital Humanities Archive – SODHA [test instance] |
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Date of Distribution: |
2020-02-20 |
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Version: |
1 |
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Bibliographic Citation: |
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, Social Sciences and Digital Humanities Archive – SODHA [test instance], V1 |
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Citation |
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Title: |
Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow |
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Identification Number: |
doi:10.18710/OWKABR |
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Authoring Entity: |
Strand, Andreas (NTNU - Norwegian University of Science and Technology) |
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Other identifications and acknowledgements: |
Smith, Ivar Eskerud |
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Other identifications and acknowledgements: |
Unander, Tor Erling |
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Other identifications and acknowledgements: |
Steinsland, Ingelin |
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Other identifications and acknowledgements: |
Hellevik, Leif Rune |
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Producer: |
Norwegian University of Science and Technology |
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SINTEF Industry |
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Equinor |
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Software used in Production: |
Python |
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Grant Number: |
267620 |
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Distributor: |
Social Sciences and Digital Humanities Archive – SODHA [test instance] |
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Distributor: |
NTNU Open Research Data |
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Access Authority: |
Strand, Andreas |
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Depositor: |
Strand, Andreas |
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Date of Deposit: |
2020-01-20 |
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Holdings Information: |
https://doi.org/10.18710/OWKABR |
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Study Scope |
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Keywords: |
Engineering, Mathematical Sciences, Physics, two-phase flow, unit cell, uncertainty quantification, sensitivity analysis, monte carlo, polynomial chaos |
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Abstract: |
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 expansions are implemented. |
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Kind of Data: |
Source code |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions: CC0 Waiver |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Bibliographic Citation: |
Submitted for review. Uncertainty propagation through a point model for steady-state two-phase pipe flow. Andreas Strand, Ivar E. Smith, Tor E. Unander, Ingelin Steinsland and Leif R. Hellevik. |
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00_ReadMe.txt |
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Notes: |
text/plain |
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mc_functions.py |
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Notes: |
text/plain |
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mc_input.py |
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Notes: |
text/plain |
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mc.py |
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Notes: |
text/plain |
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pc_functions.py |
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Notes: |
text/plain |
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pc_input.py |
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Notes: |
text/plain |
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pc.py |
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Notes: |
text/plain |
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pc_setup.py |
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Notes: |
text/plain |
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plot_functions.py |
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Notes: |
text/plain |
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pointmodel.py |
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Notes: |
text/plain |