Experimental investigation of corroded steel H-pile repaired with ultrahigh-performance concrete (UHPC) under eccentric axial compression loads
Bibliographic record
Abstract
Corrosion-induced deterioration in steel H-piles reduces load-carrying capacity and structural performance. Replacing corroded H-piles is often impractical due to cost and accessibility constraints. This paper investigates the effectiveness of repairing severely corroded H-piles subjected to eccentric axial loads using ultrahigh-performance concrete (UHPC) plates. The UHPC plates, reinforced with carbon fiber-reinforced polymer (CFRP) grids, are bolted to the steel H-piles using high-strength bolt connectors (HSBCs). Nine full-scale 120 in. (3048 mm) long H-piles HP10×42 were repaired with UHPC plates and subjected to axial compression loads at eccentricities of 0%, 10%, and 30%. Corrosion was simulated by reducing the thickness of the flanges and web, creating cuts and voids. The repaired piled with 0.75 in. (19 mm) diameter HSBC displayed a strength increase of 348% while those with 1 in. (25.4 mm) diameter HSBC and CFRP grid exhibited a 422% increment.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 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".