ADAPT — A Diversely Applicable Parameter Identification Tool : Overview and full-field application examples
(2022) In International Journal of Mechanical Sciences 213. p.106840-106840- Abstract
- The free and open source software tool ADAPT (A Diversely Applicable Parameter Identification Tool) for the inverse parameter identification of constitutive material models is presented and applied in combination with Finite Element (FE) simulations. Different types of input data, namely integral data such as forces and field data such as displacement and strain fields, are considered within a multi-objective optimisation scheme. The effect of each of those data sets is investigated in detail for an elasto-plastic and a non-local ductile damage model applied to a dual-phase steel. To demonstrate the wide range of parameter identification applications, several examples are given. The behaviour of a soft polymer using a finite strain... (More)
- The free and open source software tool ADAPT (A Diversely Applicable Parameter Identification Tool) for the inverse parameter identification of constitutive material models is presented and applied in combination with Finite Element (FE) simulations. Different types of input data, namely integral data such as forces and field data such as displacement and strain fields, are considered within a multi-objective optimisation scheme. The effect of each of those data sets is investigated in detail for an elasto-plastic and a non-local ductile damage model applied to a dual-phase steel. To demonstrate the wide range of parameter identification applications, several examples are given. The behaviour of a soft polymer using a finite strain non-local visco-elastic damage model is predicted. It is shown that field data such as displacement fields are required to identify the material parameters of a non-local damage model. Differing from existing approaches, high resolution scanning electron microscopy (SEM) data of voids and optical strain fields are employed to identify the material parameters of a Gurson–Tvergaard–Needleman porous plasticity model. This strategy reduces the error in terms of the predicted void area fraction in the particular air bending example considered by approximately 500% compared to a parameter identification approach not using microstructural data. The applied identification scheme contributed to the achievement of a good qualitative agreement for the prediction of the void area fraction in the process chain of hot calibre rolling with subsequent forward rod extrusion of a case-hardened steel by using an uncoupled Lemaitre-type damage model with strain rate and temperature dependency. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/af5492fc-097e-4674-96fd-3b9de0ec8274
- author
- Schowtjak, Alexander ; Schulte, Robin ; Clausmeyer, Till ; Ostwald, Richard ; Tekkaya, A. Erman and Menzel, Andreas LU
- organization
- publishing date
- 2022-01-01
- type
- Contribution to journal
- publication status
- published
- subject
- in
- International Journal of Mechanical Sciences
- volume
- 213
- pages
- 17 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85132346858
- ISSN
- 1879-2162
- DOI
- 10.1016/j.ijmecsci.2021.106840
- language
- English
- LU publication?
- yes
- id
- af5492fc-097e-4674-96fd-3b9de0ec8274
- date added to LUP
- 2026-01-20 14:22:33
- date last changed
- 2026-01-29 12:41:58
@article{af5492fc-097e-4674-96fd-3b9de0ec8274,
abstract = {{The free and open source software tool ADAPT (A Diversely Applicable Parameter Identification Tool) for the inverse parameter identification of constitutive material models is presented and applied in combination with Finite Element (FE) simulations. Different types of input data, namely integral data such as forces and field data such as displacement and strain fields, are considered within a multi-objective optimisation scheme. The effect of each of those data sets is investigated in detail for an elasto-plastic and a non-local ductile damage model applied to a dual-phase steel. To demonstrate the wide range of parameter identification applications, several examples are given. The behaviour of a soft polymer using a finite strain non-local visco-elastic damage model is predicted. It is shown that field data such as displacement fields are required to identify the material parameters of a non-local damage model. Differing from existing approaches, high resolution scanning electron microscopy (SEM) data of voids and optical strain fields are employed to identify the material parameters of a Gurson–Tvergaard–Needleman porous plasticity model. This strategy reduces the error in terms of the predicted void area fraction in the particular air bending example considered by approximately 500% compared to a parameter identification approach not using microstructural data. The applied identification scheme contributed to the achievement of a good qualitative agreement for the prediction of the void area fraction in the process chain of hot calibre rolling with subsequent forward rod extrusion of a case-hardened steel by using an uncoupled Lemaitre-type damage model with strain rate and temperature dependency.}},
author = {{Schowtjak, Alexander and Schulte, Robin and Clausmeyer, Till and Ostwald, Richard and Tekkaya, A. Erman and Menzel, Andreas}},
issn = {{1879-2162}},
language = {{eng}},
month = {{01}},
pages = {{106840--106840}},
publisher = {{Elsevier}},
series = {{International Journal of Mechanical Sciences}},
title = {{ADAPT — A Diversely Applicable Parameter Identification Tool : Overview and full-field application examples}},
url = {{http://dx.doi.org/10.1016/j.ijmecsci.2021.106840}},
doi = {{10.1016/j.ijmecsci.2021.106840}},
volume = {{213}},
year = {{2022}},
}