Study on Failure Evolution Law of Reinforcing Bar Connection Interface of Precast Structure
Bibliographic record
Abstract
In order to obtain the failure evolution law of the reinforced grout anchor connection interface of prefabricated concrete structures,a longitudinal steel bar anchor connection test was carried out on a prefabricated concrete structure by the digital speckle correlation method (DSCM).By observing the failure process of steel bar anchor connection and analyzing the speckle image, the evolution characteristics of the stress of the fabricated concrete structure anchor, the evolution characteristics of the force field of the anchor system, and the evolution characteristics of the strain field of the anchor system were studied.The results showed that: ① The thickness of the anchoring agent would affect the failure mode and the ultimate bearing capacity of the anchoring system. ② In the anchoring system, the pulling force was continuously transmitted along the steel bar from the loaded end to the free end, and the greater the thickness of the anchoring agenthas, the greater the transmission rangeis. ③ During the drawing process, the deformation of the anchoring system was mainly concentrated at the interface between the anchoring agent and the concrete, and expanded along the steel bar to the inside of the system as the load increases. ④ Under the pulling force, in the initial, the first principal strain and the maximum shear strain mainly existed in the grouting area around the reinforcement at the loading end. As the pulling force increased, the strain expanded to the bonding interface between the concrete matrix and the grouting material until it connects with the strain at the bonding interface.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".