102 TRANSPORTATION RESEARCH RECORD!277 Instrumentation of Geogrid-Reinforced Soil
Bibliographic record
Abstract
An experimental program involving the construction and moni-toring of large-scale geosynthetic-reinforced soil walls has been under way at the Royal Military College (RMC) of Canada for several years. Several 3-m-high model walls have been built within the RMC Retaining Wall Test Facility and these walls taken to failure under uniform surcharge loading. The instrumentation, calibration of equipment, data acquisition, and monitoring strat-egies that have been developed over the course of this program are described. Examples of qualitative features of model wall behavior during construction, under working load conditions, and at incipient collapse are given. These examples highlight the success of the instrumentation program to date. A research program conducted by the Civil Engineering Department at the Royal Military College (RMC) of Canada has been under way for several years. The program is directed at acquiring detailed measurements of the mechanical behav-ior of soil retaining walls constructed with polymeric rein-forcement (i.e., geosynthetics). The experimental program involves the construction and testing to failure of carefully monitored full-scale models of geogrid-reinforced soil walls constructed within the RMC Retaining Wall Test Facility. The data collected can then guide the development of physically correct models that are needed to design geosynthetic rein-forced retaining walls and predict their performance in the field. A total of 10 reinforced soil walls constructed with a variety of facing treatments have been tested to date. The results of these tests have been reported by the author and coworkers in other publications (J-5). This paper is focused on a description of the instrumen-tation that has been developed and employed in recent wall tests to allow researchers to measure the load-deformation response of these composite structures during construction, under working load conditions, and at collapse of the structures during surcharging.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".