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**Harvard**

Johansson, H. och Runesson, K. (2004) *Parameter identification for constitutive models with error control*.

** BibTeX **

@conference{

Johansson2004,

author={Johansson, Håkan and Runesson, Kenneth},

title={Parameter identification for constitutive models with error control},

booktitle={ECCOMAS 2004, European Congress on Computational Methods in Applied Sciences and Engineering},

isbn={951-39-1868-8},

abstract={A recently proposed technique for the calibration of
constitutive models, that is based on optimization with built-in error control, is applied to Norton's viscoelasticity model. In order to focus on the characteristic features, only the constitutive response for uniaxial stress is considered; however, the extension to multiaxial states and spatially non-homogeneous situations is quite straightforward although technically more complex. Essentially, the optimization strategy is based on
Newton's method and consists of solving three linear problems running forwards in time and one linear problem (for the costate) running backwards in time. It is interesting to note that the same problem character is pertinent to the solution of the dual problem, which is the basis for the a posteriori error computation.},

year={2004},

keywords={calibration, a posteriori error control, viscoelasticity, parameter identification},

}

** RefWorks **

RT Conference Proceedings

SR Print

ID 1249

A1 Johansson, Håkan

A1 Runesson, Kenneth

T1 Parameter identification for constitutive models with error control

YR 2004

T2 ECCOMAS 2004, European Congress on Computational Methods in Applied Sciences and Engineering

SN 951-39-1868-8

AB A recently proposed technique for the calibration of
constitutive models, that is based on optimization with built-in error control, is applied to Norton's viscoelasticity model. In order to focus on the characteristic features, only the constitutive response for uniaxial stress is considered; however, the extension to multiaxial states and spatially non-homogeneous situations is quite straightforward although technically more complex. Essentially, the optimization strategy is based on
Newton's method and consists of solving three linear problems running forwards in time and one linear problem (for the costate) running backwards in time. It is interesting to note that the same problem character is pertinent to the solution of the dual problem, which is the basis for the a posteriori error computation.

LA eng

OL 30