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Identification software related to a preprint publication

License: GNU General Public License v3.0

Jupyter Notebook 100.00%

ptm-identification's Introduction

PTM identification program

These are the source files of the implementation of the software for the identification of the parameters of the PTM constitutive law related to the publication: Pierre Tize Mha, Amèvi Tongne and Olivier Pantalé. A generalized non-linear flow law based on Modified Zerilli-Armstrong model and its implementation into Abaqus/Explicit FEM code, 2022

Usage of the software

All code is contained into the Jupyter notebook files PTMcode.ipynb in the two subdirectories 750-850 and 900-1300.

The two python notebook files are almost the same except the number of curves to treat. Data is read from the provided excel files and the identified coefficients are available in the notebook outputs.


Olivier Pantalé
Full Professor of Mechanics
email : [email protected]

Laboratoire Génie de Production
Ecole Nationale d'Ingénieurs de Tarbes
Université de Toulouse
47 Avenue d'Azereix - BP 1629
65016 TARBES - CEDEX - FRANCE

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