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Record W7097625252

102 TRANSPORTATION RESEARCH RECORD!277 Instrumentation of Geogrid-Reinforced Soil

2016· article· en· W7097625252 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsnot available
Fundersnot available
KeywordsInstrumentation (computer programming)Retaining wallCalibrationTest (biology)Test dataLateral earth pressureResearch programVariety (cybernetics)
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.126
Threshold uncertainty score0.423

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1260.099

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.

Opus teacher head0.019
GPT teacher head0.251
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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