## 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**

## Cite this

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**An adaptive algorithm to accelerate the critical plane identification for multiaxial fatigue criteria.**/ Wentingmann, M.; Noever-Castelos, P.; Balzani, C.

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

*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.*Barcelona, Spain, pp. 3745-3754.

*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*(pp. 3745-3754).

}

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 -