Optimisation based material parameter identification using full field displacement and temperature measurements
(2020) In Mechanics of Materials 145.- Abstract
A material parameter identification is presented for a fully thermo-mechanically coupled material model based on full field displacement and temperature measurements. The basic theory of the inverse problem is recapitulated, focusing on the choice of the objective function, proposing a new formulation, and explaining in detail the necessary numerical treatment of experimental data during the pre-processing of an identification. This includes the handling of the intrinsically different data sets of displacement (Lagrangian type) and temperature (Eulerian type). Experimental data is obtained by means of a Digital-Image-Correlation (DIC) as well as by a thermography system and three algorithmic boxes are provided for the necessary... (More)
A material parameter identification is presented for a fully thermo-mechanically coupled material model based on full field displacement and temperature measurements. The basic theory of the inverse problem is recapitulated, focusing on the choice of the objective function, proposing a new formulation, and explaining in detail the necessary numerical treatment of experimental data during the pre-processing of an identification. This includes the handling of the intrinsically different data sets of displacement (Lagrangian type) and temperature (Eulerian type). Experimental data is obtained by means of a Digital-Image-Correlation (DIC) as well as by a thermography system and three algorithmic boxes are provided for the necessary pre-processing. The experimental setup is discussed, measured data presented and analysed. From this setup, a successive approach to the identification process is motivated. Based on the experimental observations, a thermo-mechanically coupled material model is chosen, the required constitutive relations summarised and the material parameters interpreted. For the fixed choice of model and experiments, the inverse problem is solved. A very good fit was obtained for both the displacement and the temperature field. Results are interpreted and remaining errors discussed.
(Less)
- author
- Rose, Lars and Menzel, Andreas LU
- organization
- publishing date
- 2020-06
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Coupled problem, Displacement field, Inverse problem, Parameter identification, Temperature field
- in
- Mechanics of Materials
- volume
- 145
- article number
- 103292
- publisher
- Elsevier
- external identifiers
-
- scopus:85082686665
- ISSN
- 0167-6636
- DOI
- 10.1016/j.mechmat.2019.103292
- language
- English
- LU publication?
- yes
- id
- b1dfc1a5-7541-43f2-a55b-a4778bafa413
- date added to LUP
- 2020-04-15 16:48:49
- date last changed
- 2022-04-18 21:40:31
@article{b1dfc1a5-7541-43f2-a55b-a4778bafa413,
abstract = {{<p>A material parameter identification is presented for a fully thermo-mechanically coupled material model based on full field displacement and temperature measurements. The basic theory of the inverse problem is recapitulated, focusing on the choice of the objective function, proposing a new formulation, and explaining in detail the necessary numerical treatment of experimental data during the pre-processing of an identification. This includes the handling of the intrinsically different data sets of displacement (Lagrangian type) and temperature (Eulerian type). Experimental data is obtained by means of a Digital-Image-Correlation (DIC) as well as by a thermography system and three algorithmic boxes are provided for the necessary pre-processing. The experimental setup is discussed, measured data presented and analysed. From this setup, a successive approach to the identification process is motivated. Based on the experimental observations, a thermo-mechanically coupled material model is chosen, the required constitutive relations summarised and the material parameters interpreted. For the fixed choice of model and experiments, the inverse problem is solved. A very good fit was obtained for both the displacement and the temperature field. Results are interpreted and remaining errors discussed.</p>}},
author = {{Rose, Lars and Menzel, Andreas}},
issn = {{0167-6636}},
keywords = {{Coupled problem; Displacement field; Inverse problem; Parameter identification; Temperature field}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Mechanics of Materials}},
title = {{Optimisation based material parameter identification using full field displacement and temperature measurements}},
url = {{http://dx.doi.org/10.1016/j.mechmat.2019.103292}},
doi = {{10.1016/j.mechmat.2019.103292}},
volume = {{145}},
year = {{2020}},
}