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

Dataset

DOI

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.

Python, 3.6

Identifier
DOI	https://doi.org/10.18710/OWKABR
Related Identifier	IsCitedBy https://doi.org/10.3390/a13030053
Metadata Access	https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/OWKABR

Provenance
Creator	Strand, Andreas
Publisher	DataverseNO
Contributor	Strand, Andreas; NTNU – Norwegian University of Science and Technology; SINTEF Industry; Equinor; Smith, Ivar Eskerud; Unander, Tor Erling; Steinsland, Ingelin; Hellevik, Leif Rune
Publication Year	2020
Funding Reference	The Research Council of Norway 267620
Rights	CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess	true
Contact	Strand, Andreas (NTNU – Norwegian University of Science and Technology)

Representation
Resource Type	Source code; Dataset
Format	text/plain
Size	753; 7443; 355; 353; 8007; 370; 330; 794; 14290; 9755; 216
Version	2.1
Discipline	Construction Engineering and Architecture; Engineering; Engineering Sciences; Natural Sciences; Physics