The work deals with the parameters identification and the experimental validation of a phenomenological model for fatigue anisotropic damage in short glass fiber reinforced polyamide (PA6-GF30). The damage fatigue model has been formulated in terms of strain energy and was implemented into the finit
β¦ LIBER β¦
Identification of Material Damage Model Parameters: an Inverse Approach Using Digital Image Processing
β Scribed by Giovanni B. Broggiato; Francesca Campana; Luca Cortese
- Publisher
- Springer Netherlands
- Year
- 2006
- Tongue
- English
- Weight
- 320 KB
- Volume
- 42
- Category
- Article
- ISSN
- 0025-6455
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Parameters identification of fatigue dam
β
F. Meraghni; H. Nouri; N. Bourgeois; C. Czarnota; P. Lory
π
Article
π
2011
π
Elsevier
π
English
β 397 KB
An inverse finite-element algorithm for
β
R. Mahnken
π
Article
π
2000
π
John Wiley and Sons
π
English
β 251 KB
π 1 views
In this contribution an algorithm for parameter identiΓΏcation of thermoelastic damage models is proposed, in which non-uniform distributions of the state variables such as stresses, strains, damage variables and temperature are taken into account. To this end a least-squares functional consisting of
An inverse analysis using a finite eleme
β
A. Gavrus; E. Massoni; J.L. Chenot
π
Article
π
1996
π
Elsevier Science
π
English
β 644 KB
Identification of the parameters of an e
β
Eric Florentin; Gilles Lubineau
π
Article
π
2010
π
Springer
π
English
β 760 KB
An approach to parameters estimation of
β
Mirtha Irizar Mesa; Orestes Llanes-Santiago; Francisco Herrera FernΓ‘ndez; David
π
Article
π
2010
π
Springer
π
English
β 565 KB
The optimisation of neural network param
β
Wimalin Sukthomya; James Tannock
π
Article
π
2005
π
Springer-Verlag
π
English
β 235 KB