This dataset contains the code and produced result files for the investigations presented in Suditsch et al. (DOI-LINK). In this work a biphasic model in the framework of the Theory of Porous Media (doi:10.1007/978-3-662-04999-0) is combined with a kinematic description according to Rodriguez et al. (doi:10.1016/0021-9290(94)90021-3). The script comparision_Growth_Formulations.py produces all used data and with create_plots.ipynb all plots can be created. In TPM_2Phase_MAo_LMo_MAs_Growth.py and Rodriguez1994.py calculation routines for the respective theories are written. For convenience, general functions are outsourced into the helper.py file. In README, a rough summary of the basic equations of the coupled kinematic-multiphasic growth model are shown. It is followed by an installation guide. Additionally to the github (https://github.com/masud-src/biphasic-kinematic-growth) repository, the generated result files can be found in the output folder.
%0 Generic
%1 suditsch2024biphasickinematicgrowth
%A Suditsch, Marlon
%A Egli, Franziska
%A Lambers, Lena
%A Wagner, Arndt
%A Ricken, Tim
%D 2024
%K atlas myown rg-compbio
%R 10.18419/darus-4361
%T biphasic-kinematic-growth
%X This dataset contains the code and produced result files for the investigations presented in Suditsch et al. (DOI-LINK). In this work a biphasic model in the framework of the Theory of Porous Media (doi:10.1007/978-3-662-04999-0) is combined with a kinematic description according to Rodriguez et al. (doi:10.1016/0021-9290(94)90021-3). The script comparision_Growth_Formulations.py produces all used data and with create_plots.ipynb all plots can be created. In TPM_2Phase_MAo_LMo_MAs_Growth.py and Rodriguez1994.py calculation routines for the respective theories are written. For convenience, general functions are outsourced into the helper.py file. In README, a rough summary of the basic equations of the coupled kinematic-multiphasic growth model are shown. It is followed by an installation guide. Additionally to the github (https://github.com/masud-src/biphasic-kinematic-growth) repository, the generated result files can be found in the output folder.
@misc{suditsch2024biphasickinematicgrowth,
abstract = {This dataset contains the code and produced result files for the investigations presented in Suditsch et al. (DOI-LINK). In this work a biphasic model in the framework of the Theory of Porous Media (doi:10.1007/978-3-662-04999-0) is combined with a kinematic description according to Rodriguez et al. (doi:10.1016/0021-9290(94)90021-3). The script comparision_Growth_Formulations.py produces all used data and with create_plots.ipynb all plots can be created. In TPM_2Phase_MAo_LMo_MAs_Growth.py and Rodriguez1994.py calculation routines for the respective theories are written. For convenience, general functions are outsourced into the helper.py file. In README, a rough summary of the basic equations of the coupled kinematic-multiphasic growth model are shown. It is followed by an installation guide. Additionally to the github (https://github.com/masud-src/biphasic-kinematic-growth) repository, the generated result files can be found in the output folder. },
added-at = {2024-08-27T15:23:47.000+0200},
affiliation = {Suditsch, Marlon/Universität Stuttgart, Egli, Franziska S./Universität Stuttgart, Lambers, Lena/Universität Stuttgart, Wagner, Arndt/Universität Stuttgart, Ricken, Tim/Universität Stuttgart},
author = {Suditsch, Marlon and Egli, Franziska and Lambers, Lena and Wagner, Arndt and Ricken, Tim},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/288e930cfd44c9c57ef7addb1e45e3604/marlonsuditsch},
doi = {10.18419/darus-4361},
howpublished = {Software},
interhash = {288e1a6811436aaec6f51b2dec09e60a},
intrahash = {88e930cfd44c9c57ef7addb1e45e3604},
keywords = {atlas myown rg-compbio},
orcid-numbers = {Suditsch, Marlon/0000-0001-8104-9081, Egli, Franziska S./0000-0002-1927-0049, Lambers, Lena/0000-0003-3964-0526, Wagner, Arndt/0000-0002-1801-4414, Ricken, Tim/0000-0001-8515-5009},
timestamp = {2024-08-27T15:23:47.000+0200},
title = {biphasic-kinematic-growth},
year = 2024
}
