Flexural performance of UHPC-encased H-shape steel beams: Experiments and theoretical analysis
Bibliographic record
Abstract
To enhance the durability of steel beams and the bearing capacity of UHPC beams, this study proposes UHPC-encased H-shape steel beams, also called Structural-steel-Reinforced UHPC H-shape (SRUHPC-H) beams. Four-point bending tests were carried out on four full-scale SRUHPC-H beams. The bending failure mode and cooperative working performance of SRUHPC-H beams were analyzed, and the flexural bearing capacity and deformation performance were evaluated based on the test results. The results showed that all the specimens exhibited typical tension-controlled beam behavior, experiencing elastic stage, diffuse cracking stage, yielding stage and finally UHPC crushing. The beams satisfied the plane section assumption before yielding. The strain coordination between the internal steel plate and the external UHPC was good, and the deformation capacity was better than that of the traditional steel-reinforced concrete beam and the steel-reinforced UHPC rectangular beams. The material utilization efficiency and economy were effectively improved by the H-shaped section design. Finally, a flexural prediction method is proposed. The mean value and the root mean square error (RMSE) of the predicted-to-test ratio were 0.98 and 0.04, respectively. • A new type of UHPC-encased H-shape steel (SRUHPC-H) beam is proposed. • The SRUHPC-H beam exhibits typical tension-controlled flexural behavior. • The strain coordination between the internal steel plate and the external UHPC is good before yielding. • A flexural prediction method of SRUHPC-H beams is proposed and shown less than 8 % prediction error. • The deformation capacity of SRUHPC-H beam is better than that of the traditional SRUHPC rectangular beam.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".