Progressive Investigation and Void Detection of Post-Tensioned Slab Bridge Tendons
Bibliographic record
Abstract
Twin bridge structures provide a grade separated crossing for Manitoba Provincial Trunk Highway (PTH) 8 over PTH 101. The superstructure consists of a continuous 5-span cast-in-place post-tensioned concrete slab. Constructed in 1973, the structures required a detailed condition assessment, strength evaluation, and preliminary design for rehabilitation. Due to the critical importance of the post-tensioning tendons to contribute to the load carrying capacity of the structure, it was determined that a progressive investigation and void detection assessment of the tendons was necessary. Void detection testing of in-situ post-tensioning tendons was performed using the MALA Geoscience Imaging Radar Array (MIRA). The detailed condition assessment was carried out in accordance with the Ministry of Transportation Ontario (MTO) Structure Rehabilitation Manual and consisted of visual inspection, concrete cover measurements, delamination survey, corrosion potential readings, and a coring program to determine concrete compressive strength, chloride content, air-void content, and to perform petrographic analysis. Strength evaluation (load rating) of the twin structures was carried out in accordance with the AASHTO Manual for Bridge Evaluation (2nd Edition, 2011) under the Strength I limit state. Trucks evaluated were the HS 25 lane, HS 30 lane, HSS 25 truck, HL-93 design truck, and TAC legal loads (39.5, 56.5, and 62.5 tonne configurations). The structure was designed for the HS 20-44 live load. The progressive investigation and void detection assessment of the tendons was an important part of the condition assessment and vital for the accurate strength evaluation of the twin structures. For the covering abstract of this conference see ITRD record number 201211RT334E.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".