Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 6th European Conference on Computational Mechanics |
| Subtitle of host publication | Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018 |
| Editors | Roger Owen, Rene de Borst, Jason Reese, Chris Pearce |
| Place of Publication | Barcelona, Spain |
| Pages | 3745-3754 |
| Number of pages | 10 |
| ISBN (electronic) | 978-84-947311-6-7 |
| Publication status | Published - 2018 |
Abstract
are computationally very costly. In order to reduce computation times and to make full use of the critical plane approach an adaptive algorithm for the identification of the critical plane is presented in this work. The algorithm is based on the segmentation of a half sphere in segments of equal surface areas. Starting with a coarse mesh the algorithm refines only those segments that probably include the actual critical plane. This simple yet very effective approach refers only to the accumulated damages of the segments and is hence suitable for every critical plane failure criterion. Depending on the discretisation level and used failure criterion reductions of up to 82 % in computational time can be expected without loss of accuracy, which is demonstrated by a fatigue analysis of a wind turbine’s trailing edge adhesive joint.
Keywords
- Adaptive algorithm, Critical plane, Multiaxial fatigue, Non-proportionality
ASJC Scopus subject areas
- Engineering(all)
- Mechanics of Materials
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Computational Theory and Mathematics
Sustainable Development Goals
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Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018. ed. / Roger Owen; Rene de Borst; Jason Reese; Chris Pearce. Barcelona, Spain, 2018. p. 3745-3754.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - An adaptive algorithm to accelerate the critical plane identification for multiaxial fatigue criteria
AU - Wentingmann, M.
AU - Noever-Castelos, P.
AU - Balzani, C.
N1 - Funding Information: The authors would like to acknowledge the financial support of the ECCOMAS scholarship.
PY - 2018
Y1 - 2018
N2 - For the fatigue analysis of structures undergoing non-proportional stress histories, the critical plane approach has proven a physically meaningful and thus comprehensive method. However, procedures that accurately identify the critical planeare computationally very costly. In order to reduce computation times and to make full use of the critical plane approach an adaptive algorithm for the identification of the critical plane is presented in this work. The algorithm is based on the segmentation of a half sphere in segments of equal surface areas. Starting with a coarse mesh the algorithm refines only those segments that probably include the actual critical plane. This simple yet very effective approach refers only to the accumulated damages of the segments and is hence suitable for every critical plane failure criterion. Depending on the discretisation level and used failure criterion reductions of up to 82 % in computational time can be expected without loss of accuracy, which is demonstrated by a fatigue analysis of a wind turbine’s trailing edge adhesive joint.
AB - For the fatigue analysis of structures undergoing non-proportional stress histories, the critical plane approach has proven a physically meaningful and thus comprehensive method. However, procedures that accurately identify the critical planeare computationally very costly. In order to reduce computation times and to make full use of the critical plane approach an adaptive algorithm for the identification of the critical plane is presented in this work. The algorithm is based on the segmentation of a half sphere in segments of equal surface areas. Starting with a coarse mesh the algorithm refines only those segments that probably include the actual critical plane. This simple yet very effective approach refers only to the accumulated damages of the segments and is hence suitable for every critical plane failure criterion. Depending on the discretisation level and used failure criterion reductions of up to 82 % in computational time can be expected without loss of accuracy, which is demonstrated by a fatigue analysis of a wind turbine’s trailing edge adhesive joint.
KW - adaptive algorithm
KW - critical plane
KW - multiaxial fatigue
KW - non-proportionality
KW - adaptiver Algorithmus
KW - kritische Ebene
KW - multiachsiale Ermüdung
KW - Nichtproportionalität
KW - Adaptive algorithm
KW - Critical plane
KW - Multiaxial fatigue
KW - Non-proportionality
UR - http://www.scopus.com/inward/record.url?scp=85081062397&partnerID=8YFLogxK
M3 - Conference contribution
SP - 3745
EP - 3754
BT - Proceedings of the 6th European Conference on Computational Mechanics
A2 - Owen, Roger
A2 - de Borst, Rene
A2 - Reese, Jason
A2 - Pearce, Chris
CY - Barcelona, Spain
ER -