Details
| Original language | English |
|---|---|
| Pages (from-to) | 725-743 |
| Number of pages | 19 |
| Journal | Computational mechanics |
| Volume | 62 |
| Issue number | 4 |
| Early online date | 30 Nov 2017 |
| Publication status | Published - Oct 2018 |
Abstract
The objective of this article is to introduce a new method including model order reduction for the life prediction of structures subjected to cycling damage. Contrary to classical incremental schemes for damage computation, a non-incremental technique, the LATIN method, is used herein as a solution framework. This approach allows to introduce a PGD model reduction technique which leads to a drastic reduction of the computational cost. The proposed framework is exemplified for structures subjected to cyclic loading, where damage is considered to be isotropic and micro-defect closure effects are taken into account. A difficulty herein for the use of the LATIN method comes from the state laws which can not be transformed into linear relations through an internal variable transformation. A specific treatment of this issue is introduced in this work.
Keywords
- Damage, LATIN method, Non-linear solid mechanics, Proper Generalised Decomposition, Reduced order model
ASJC Scopus subject areas
- Engineering(all)
- Computational Mechanics
- Engineering(all)
- Ocean Engineering
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computational Theory and Mathematics
- Mathematics(all)
- Computational Mathematics
- Mathematics(all)
- Applied Mathematics
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In: Computational mechanics, Vol. 62, No. 4, 10.2018, p. 725-743.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A LATIN-based model reduction approach for the simulation of cycling damage
AU - Bhattacharyya, Mainak
AU - Fau, Amelie
AU - Nackenhorst, Udo
AU - Néron, David
AU - Ladevèze, Pierre
N1 - Funding information: The authors are grateful to the German Research Foundation (DFG) for funding the research through International Research Training Group 1627.
PY - 2018/10
Y1 - 2018/10
N2 - The objective of this article is to introduce a new method including model order reduction for the life prediction of structures subjected to cycling damage. Contrary to classical incremental schemes for damage computation, a non-incremental technique, the LATIN method, is used herein as a solution framework. This approach allows to introduce a PGD model reduction technique which leads to a drastic reduction of the computational cost. The proposed framework is exemplified for structures subjected to cyclic loading, where damage is considered to be isotropic and micro-defect closure effects are taken into account. A difficulty herein for the use of the LATIN method comes from the state laws which can not be transformed into linear relations through an internal variable transformation. A specific treatment of this issue is introduced in this work.
AB - The objective of this article is to introduce a new method including model order reduction for the life prediction of structures subjected to cycling damage. Contrary to classical incremental schemes for damage computation, a non-incremental technique, the LATIN method, is used herein as a solution framework. This approach allows to introduce a PGD model reduction technique which leads to a drastic reduction of the computational cost. The proposed framework is exemplified for structures subjected to cyclic loading, where damage is considered to be isotropic and micro-defect closure effects are taken into account. A difficulty herein for the use of the LATIN method comes from the state laws which can not be transformed into linear relations through an internal variable transformation. A specific treatment of this issue is introduced in this work.
KW - Damage
KW - LATIN method
KW - Non-linear solid mechanics
KW - Proper Generalised Decomposition
KW - Reduced order model
UR - http://www.scopus.com/inward/record.url?scp=85035745327&partnerID=8YFLogxK
U2 - 10.1007/s00466-017-1523-z
DO - 10.1007/s00466-017-1523-z
M3 - Article
AN - SCOPUS:85035745327
VL - 62
SP - 725
EP - 743
JO - Computational mechanics
JF - Computational mechanics
SN - 0178-7675
IS - 4
ER -