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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Intrusive and Non-Intrusive Uncertainty Quantification Methodologies for Pyrolysis Modeling

Research datakeyboard_double_arrow_right Dataset 03 Feb 2023 English Publisher:Zenodo
Authors: Jamil, Hamza; Brännström, Fabian;

doi: 10.5281/zenodo.7604131 , 10.5281/zenodo.7604130

Intrusive and Non-Intrusive Uncertainty Quantification Methodologies for Pyrolysis Modeling

Abstract

This repository contains python scripts and results for uncertainty analysis of Arrhenius equation with kinetic parameters as uncertain. The data set contains folders for each PMMA variant (1,2 and 3) used for uncertainty quantification (UQ) and 'Misc' folder containing miscellaneous files and scripts used in the study. Each PMMA variant folder has further sub-folders for the UQ methods implemented: Intrusive polynomial chaos (IPC) Monte Carlo (MC) Non-intrusive polynomial chaos (NIPC) Additionally convergence and comparison for the UQ methods is available in sub-folders of the same name respectively. The python file 'UoWu_noLatex.mplstyle' for plotting style used by us is attached to ease the rerunning of the scripts.

Related Organizations
Keywords

polynomial chaos expansion, uncertainty quantification, Arrhenius equation, pyrolysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average