ShearCapacity ofBasaltFiberReinforcedPolymerReinforcedRecycledConcreteDeepBeamWithoutWebReinforcement
Bibliographic record
Abstract
Abstract:In order to study the shear capacity of basalt fiber reinforced polymer reinforced recycled concrete deep beam without web reinforcement,9 deep beams under 4 point bending test were conducted.The failure process and failure mode of the tested beam were analyzed.The relationship of shear strength among the shear span ratio,reinforcement ratio of BFRP rebar and the compressive strength of recycled concrete was also discussed,respectively.A formula based on Canadian specification and data fitting for calculating the shearing capacity of the specimens was proposed.Results showed that the main failure mode of BFRP reinforced recycled concrete deep beam without web reinforcement was the shear failure and with the increase of shear span ratio,the shear failure transforms to flexural-shear failure.The shear capacity of experimental beams decreased with the increase of the shear span ratio,while increased with the increase of the reinforcement ratio of BFRP reinforcement and compressive strength of recycled concrete.The predicted results of the adopted calculation model fitted well with the test results and had a certain degree of safety.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".