Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 725-743 |
Seitenumfang | 19 |
Fachzeitschrift | Computational mechanics |
Jahrgang | 62 |
Ausgabenummer | 4 |
Frühes Online-Datum | 30 Nov. 2017 |
Publikationsstatus | Veröffentlicht - Okt. 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.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Numerische Mechanik
- Ingenieurwesen (insg.)
- Meerestechnik
- Ingenieurwesen (insg.)
- Maschinenbau
- Informatik (insg.)
- Theoretische Informatik und Mathematik
- Mathematik (insg.)
- Computational Mathematics
- Mathematik (insg.)
- Angewandte Mathematik
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in: Computational mechanics, Jahrgang 62, Nr. 4, 10.2018, S. 725-743.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › 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 -