Impact of Flexural Loading Induced Cracks on Chloride Penetration of UHPC
Bibliographic record
Abstract
Ultra-high performance concrete (UHPC) has been implemented in bridge construction for anti-corrosion purposes in costal and marine environment and regions utilizing de-icing salts in North America and Canada. However, the durability of cracked UHPC has not been systematically studied. In particular, the influence of cracks and crack patterns on the chloride penetration resistance of UHPC is not well understood. This paper reviewed the existing literature regarding the chloride penetration of uncracked and cracked UHPC. It shows that the chloride penetration through uncracked UHPC is one to two orders of magnitude lower than that of uncracked normal strength concrete. Limited studies reported that cracks significantly increase chloride penetration in UHPC. However, due to lack of quantitative studies, the influence of crack width, geometry, and patterns have not been fully understood, neither has an acceptable crack width been established for UHPC to ensure long-term durability for design and maintenance. Based on the current knowledge gaps, a comprehensive study is carried out to examine the influence of crack width on the chloride penetration through UHPC by a modified non-steady chloride migration test. This research is expected to establish the correlation between crack characteristics to the chloride penetration resistance of UHPC, and ultimately to corrosion resistance of UHPC structures, which will provide a guide to the design and maintenance of UHPC structures under coastal and marine environments.
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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 | 0.001 |
| 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 | 0.000 | 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".