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Gradient-enhanced modelling of damage for rate-dependent material behaviour-a parameter identification framework

Schulte, Robin ; Ostwald, Richard and Menzel, Andreas LU (2020) In Materials 13(14).
Abstract

The simulation of complex engineering components and structures under loads requires the formulation and adequate calibration of appropriate material models. This work introduces an optimisation-based scheme for the calibration of viscoelastic material models that are coupled to gradient-enhanced damage in a finite strain setting. The parameter identification scheme is applied to a self-diagnostic poly(dimethylsiloxane) (PDMS) elastomer, where so-called mechanophore units are incorporated within the polymeric microstructure. The present contribution, however, focuses on the purely mechanical response of the material, combining experiments with homogeneous and inhomogeneous states of deformation. In effect, the results provided lay the... (More)

The simulation of complex engineering components and structures under loads requires the formulation and adequate calibration of appropriate material models. This work introduces an optimisation-based scheme for the calibration of viscoelastic material models that are coupled to gradient-enhanced damage in a finite strain setting. The parameter identification scheme is applied to a self-diagnostic poly(dimethylsiloxane) (PDMS) elastomer, where so-called mechanophore units are incorporated within the polymeric microstructure. The present contribution, however, focuses on the purely mechanical response of the material, combining experiments with homogeneous and inhomogeneous states of deformation. In effect, the results provided lay the groundwork for a future extension of the proposed parameter identification framework, where additional field-data provided by the self-diagnostic capabilities can be incorporated into the optimisation scheme.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Finite elements, Gradient-enhanced damage at large strains, Parameter identification, Rate-dependent material behaviour
in
Materials
volume
13
issue
14
article number
3156
publisher
MDPI AG
external identifiers
  • scopus:85088501323
  • pmid:32679825
ISSN
1996-1944
DOI
10.3390/ma13143156
language
English
LU publication?
yes
id
1714e51d-7825-437e-9fc0-659886894c83
date added to LUP
2020-08-04 11:46:50
date last changed
2020-09-20 08:42:14
@article{1714e51d-7825-437e-9fc0-659886894c83,
  abstract     = {<p>The simulation of complex engineering components and structures under loads requires the formulation and adequate calibration of appropriate material models. This work introduces an optimisation-based scheme for the calibration of viscoelastic material models that are coupled to gradient-enhanced damage in a finite strain setting. The parameter identification scheme is applied to a self-diagnostic poly(dimethylsiloxane) (PDMS) elastomer, where so-called mechanophore units are incorporated within the polymeric microstructure. The present contribution, however, focuses on the purely mechanical response of the material, combining experiments with homogeneous and inhomogeneous states of deformation. In effect, the results provided lay the groundwork for a future extension of the proposed parameter identification framework, where additional field-data provided by the self-diagnostic capabilities can be incorporated into the optimisation scheme.</p>},
  author       = {Schulte, Robin and Ostwald, Richard and Menzel, Andreas},
  issn         = {1996-1944},
  language     = {eng},
  number       = {14},
  publisher    = {MDPI AG},
  series       = {Materials},
  title        = {Gradient-enhanced modelling of damage for rate-dependent material behaviour-a parameter identification framework},
  url          = {http://dx.doi.org/10.3390/ma13143156},
  doi          = {10.3390/ma13143156},
  volume       = {13},
  year         = {2020},
}