Pull-out strength properties of Lagscrewbolt connection for CLT construction
Bibliographic record
Abstract
With the availability of new engineered wood products such as cross laminated timber (CLT), it becomes possible to build a wide variety of wooden construction of frame structures of large height and long span.One of the most important design aspects for these structures is the connection.The lagscrewbolt (LSB) was first developed by Komatsu [1] as a rigid connector for wooden structures.A lot of the research was done with a focus on use of LSB in glulam construction.This study was aimed at examining the structural performance of a single or double LSBs inserted into CLT in terms of the insertion direction, the edge distance, and the distance of both LSBs.In Figure 1 was shown the LSB and CLT.The several parameter's specimens were tested for evaluating this aims.In this report, many types of specimens were used to examine the effect of edge distance, grain direction and multiple LSBs.It could be concluded as follows:
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".