Monitoring During the Unbraced Network Tied-Arch Bridge Construction Using ABC Techniques
Bibliographic record
Abstract
A unique network tied-arch bridge with free-standing arches was designed to carry the 2 nd Avenue traffic over the Interstate (I) 94 in Detroit, Michigan. This 245-ft-long, 96.5-ft-wide, and 18° skew bridge is the first skewed unbraced network arch bridge in the United States. The skeleton of the superstructure was erected off-site at a bridge staging area and moved and placed over the I-94 freeway using self-propelled modular transporters to complete construction. Based on the observations from the analysis models and the communications with the Michigan Department of Transportation, the Engineer of Records, and the peer review engineer, an instrumentation system was designed and installed in the bridge to: (i) monitor and record strains in major components during construction to determine the state of stress after construction; (ii) monitor and record the change in strains during service life to support bridge maintenance and load rating decisions; and (iii) collect adequate data to verify design assumptions. This paper discusses instrumentation system planning, design, and implementation, including sensor locations, data acquisition systems, cable and power management, data collection, and observations. The instrumentation system functions as expected. The monitoring data confirm that the structural component strains are within the design limits and the structure functions as expected.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".