10.18710/OWKABRStrand, AndreasAndreasStrand0000-0002-7679-7816NTNU - Norwegian University of Science and TechnologyReplication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flowSocial Sciences and Digital Humanities Archive – SODHA [test instance]2020EngineeringMathematical SciencesPhysicstwo-phase flowunit celluncertainty quantificationsensitivity analysismonte carlopolynomial chaosStrand, AndreasAndreasStrandNTNU - Norwegian University of Science and TechnologyNorwegian University of Science and TechnologySINTEF IndustryEquinorSmith, Ivar EskerudIvar EskerudSmithUnander, Tor ErlingTor ErlingUnanderSteinsland, IngelinHellevik, Leif RuneLeif RuneHellevikNTNU Open Research DataNorwegian University of Science and Technology2020-01-202020-02-20Source code65874433553538007370330794143079755text/plaintext/plaintext/plaintext/plaintext/plaintext/plaintext/plaintext/plaintext/plaintext/plain1.0Code 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, 3.6Norwegian Research Council267620