Modelling the non-linear behaviour of the contact area in fretting-fatigue: Extension of the non-local approach to elastically dissimilar contacting bodies
Bibliographic record
Abstract
There are two major difficulties in the prediction of fretting-fatigue life. The first is the presence of strong stress gradient localized at contact edges. The second difficulty concerns the non-linear behaviour of the contact region due to the presence of partial slip zones. A non-local model, based on thermodynamics of irreversible processes, was introduced by Rousseau et al. [1] to represent the non-linear behaviour of the partial slip zone. This model uses non-local quantities to represent the stress gradient around contact edges. The aim of the work presented in this article is to extend the non-local model to contacts between elastically dissimilar materials. In industrial applications, the bodies in contact are generally made of different materials and therefore elastic dissimilarity must be taken into account. One of the main issues was that the contact between elastically dissimilar bodies introduces coupling between normal and shear tractions at the contact interface. A new strategy was proposed to decouple normal and shear effects in the non-local model. The non-local model is built in a non-intrusive way, making it easy to use and implement in an industrial context. • Analogy between dissimilar contact problem and interfacial fracture mechanics. • A new strategy to decouple normal and shear modes in the non-local model is proposed. • The non-local model well approximates finite element simulation results. • Influence of elastic dissimilarity of contacting bodies on intensity factors is shown.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".