Impact Of The Surface Quality Of A Drilling On The Cyclic Behaviour Of Wood For A Dowel-Type Assembly
Bibliographic record
Abstract
The whole vibration behaviour of a wooden building is partly governed by the assemblies.As non-linearity is a characteristic of rod-type connectors, this behaviour is thus transposed to the building.Among rod-type assemblies, the dowel-type assembly allows smooth rod connections with a metal plate inserted into the wood.This type of assembly transmits forces between two wooden elements by shearing the dowels.Energy dissipation is possible thanks to the plasticization of dowels and the wood in contact with the dowel.The contact zone is an important part of the transfer of loads but also for dissipation.The present work focuses on the impact of the surface condition (following drilling) of the wood on the hysteretic behaviour of the assembly.For the experiments, half-drilled samples are tested applying cyclic compressive loadings without bending of the dowels.The drilling process of the samples applied helps reduce variability on the wood.To clearly visualize the different behaviours, the scaled surface after drilling (drilling at high speed and with a worn drill bit) is compared to the non-scaled surface (drilling at moderate speed and with a new drill bit).The results thus obtained show the effect of the surface condition on the mechanical behaviour of the assembly, whether in terms of stiffness or energy dissipation.The assembly with the scaled surfaces dissipated more energy for a given force, which would suggest that the use of a softer material at the interface between the dowel and wood would allow more dissipation, however the stiffness would be strongly impacted.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".