Investigation of Portland Cement Concrete Exposed to Automated Deicing Solutions on Colorado's Bridge Decks
Bibliographic record
Abstract
The Colorado Department of Transportation (DOT) has identified potential performance problems in some portland cement concrete (PCC) bridge decks and approach slabs in the form of pattern surface cracking, spalling, and joint and crack deterioration; these problems are suspected to be materials-related distress (MRD). External factors such as deicing and anti-icing chemicals can initiate and increase the rate and magnitude of deterioration caused by MRD and thereby shorten the life of the structure. This study investigated whether highly concentrated deicer solutions that were applied through bridge deck deicing and anti-icing systems that used fixed automated spray technology disproportionately contributed to deterioration of PCC bridge decks and adjacent concrete approach slabs in Colorado and whether mitigation strategies employed by Colorado DOT addressed the problem. The investigation involved visual inspection techniques, materials sampling, and evaluation of sampled concrete by using petrographic methods. In bridge decks studied, the concrete evaluated seemed sufficiently resistant to damage from the intrusion of deicer chemicals. Where full-depth cracking was present, however, obvious signs of the movement of moisture and deicers through the deck were observed. Also, some initial signs of possible chemical attack from deicers were noted, and continued exposure to highly concentrated deicers may have contributed to long-term durability concerns. However, use of polymer-modified asphalt and fabric membranes in conjunction with a hot-mix asphalt overlay seemed effective in preventing the ingress of chlorides into the underlying concrete deck.
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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 | 0.001 | 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".