Improving the Foundation Layers for Concrete Pavements: \nJointed Concrete Pavement Rehabilitation with Precast Concrete Pavement – \nCalifornia I-15 Field Study - TPF-5(183)
Bibliographic record
Abstract
This report is one of the field project reports developed as part of the TPF-5(183) and FHWA DTFH 61-06-H-00011:WO18 studies. \nPrecast concrete pavement (PCP) systems can be an effective and safe repair/rehabilitation alternative to cast-in-place pavements for \nprojects in urban area highways with high traffic volumes where lane closures are a significant challenge. Based on these advantages \nand the success observed from accelerated pavement testing at a test site with PCP in San Bernardino, California, CalTrans opted for \nPCP rehabilitation over a four-mile section of I-15 near Ontario, California. The rehabilitation work involved removing an existing \npavement built in the 1970s and replacing with PCP panels. The existing pavement consisted of portland cement concrete (PCC) \npavement over cement treated base. PCPs were placed over 1.8 miles of the project and 34 intermittent panels. The total bid cost of the \nproject was about $51.9 million. PCP systems constituted approximately $4.6 million of the total construction cost. \nResults of field testing and observations by the SHRP2 R05 and CalTrans and the Iowa State University (ISU) research team are \nsummarized in this report. Results indicated that sections with PCP panels showed lower surface deflection values under falling weight \ndeflectometer (FWD) loading than sections with the old pavement. Presence of bedding grout beneath the PCP panels reduced the \nsurface deflections under FWD loading and showed less variability. PCP panels showed thin hair-line cracks several months after \nplacement and the cracked panels correlated well with areas that had problems with placement and leveling of the bedding material. \nFWD testing conducted on the cement treated base (CTB) layer beneath the pavement layer showed that the CTB layer had an average \nmoduli of over 7,200 MPa and subgrade layer had an average modulus of about 105 MPa and R-value of about 45.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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; both teacher heads agree on what is shown here.
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".