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Gradient-Enhanced Modelling of Damage for Rate-Dependent Material Behaviour-A Parameter Identification Framework.

Robin Schulte1, Richard Ostwald1, Andreas Menzel1,2

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Summary
This summary is machine-generated.

This study presents a new optimization method to calibrate viscoelastic material models for engineering simulations. The technique was successfully applied to a specific elastomer, paving the way for advanced material modeling.

Keywords:
finite elementsgradient-enhanced damage at large strainsparameter identificationrate-dependent material behaviour

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Area of Science:

  • Engineering
  • Materials Science
  • Computational Mechanics

Background:

  • Accurate simulation of complex engineering components requires precise material models.
  • Viscoelastic materials with damage are challenging to model under finite strain conditions.
  • Calibration of these models is crucial for reliable performance prediction.

Purpose of the Study:

  • To introduce an optimization-based scheme for calibrating viscoelastic material models coupled with gradient-enhanced damage.
  • To apply this scheme to a poly(dimethylsiloxane) (PDMS) elastomer.
  • To lay the groundwork for incorporating self-diagnostic data into future calibration frameworks.

Main Methods:

  • Development of an optimization-based parameter identification scheme.
  • Finite strain analysis incorporating gradient-enhanced damage.
  • Experimental validation using homogeneous and inhomogeneous deformation states of a PDMS elastomer.

Main Results:

  • Successful calibration of viscoelastic material model parameters for PDMS.
  • Demonstration of the scheme's applicability to complex material behaviors.
  • Validation of the purely mechanical response under various deformation states.

Conclusions:

  • The proposed optimization scheme effectively calibrates complex material models.
  • The method is suitable for finite strain viscoelasticity with damage.
  • Future work will integrate self-diagnostic data for enhanced model accuracy.