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ZENODO
Dataset . 2019
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ZENODO
Dataset . 2019
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Application Cases of Inverse Modelling with the PROPTI Framework - Data Set

Authors: Arnold, Lukas; Hehnen, Tristan; Lauer, Patrick; Trettin, Corinna; Vinayak , Ashish;

Application Cases of Inverse Modelling with the PROPTI Framework - Data Set

Abstract

This repository contains the complete input data for each IMP run of the mass loss calorimeter, shown in this paper. This comprises of the experimental data files, the templates for the simulation models and the input file for PROPTI. Furthermore, the repository contains a small collection of Jupyter notebooks which have been used to process the data base files and create the plots presented in this paper.

Keywords

PROPTI, pyrolysis simulation, optimisation, Fourier amplitude sensitivity test (FAST), OpenFOAM, inverse modelling, high performance computing (HPC), Fire Dynamics Simulator (FDS), mass loss calorimeter (MLC), thermogravimetric analysis (TGA), shuffled complex evolution (SCE), fitness scaled chaotic artificial bee colony (FSCABC)

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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!
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