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Record W1987325102 · doi:10.1061/9780784413272.405

Back-to-Back Geosynthetic-Reinforced MSE Wall Supporting Elevated Dual Railroad Tracks

2014· article· en· W1987325102 on OpenAlexfundaboutno aff
John M. Lostumbo, Jamie Johnson, Michael Bernardi

Bibliographic record

VenueGeo-Congress 2014 Technical Papers · 2014
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsnot available
FundersGraymont
KeywordsPrecast concreteCatenaryMechanically stabilized earthReinforcementGeogridGeosyntheticsStructural engineeringAbutmentSTRIPSSubgradeGeotechnical engineeringEngineeringComputer scienceMaterials scienceComposite material

Abstract

fetched live from OpenAlex

A newly developed mechanically stabilized earth (MSE) system consisting of large precast block with a mechanical connection using narrow geosynthetic reinforcement provided a cost-effective solution to a challenging project. Canadian National (CN) Railway needed to switch an at-grade rail crossing with a commuter system to an elevated crossing. Due to the overhead catenary electrical wire system of the commuter rail line, a metallic-reinforced MSE wall system could not be used. Geosynthetic-reinforced MSE wall systems are generally more cost effective than metallic-reinforced systems, and there is no concern using geosynthetic reinforcement near a catenary system. This unique project was one of the first to use this positive connection system with continuous reinforcement through the facing block. It was also the first geosythetic MSE wall system supporting dual railroad tracks with less than 1 degree face batter. The MSE system uses geogrid soil reinforcement in 300 mm (1 ft) wide strips. Because the reinforcement is in strips instead of full sheets, the MSE structure is designed with a reinforcement coverage ratio of 50% instead of 100%, which would be typical of full sheets. The MSE abutment is approximately 6.4 m (21 ft) tall at the bridge structure. The wall is being monitored by surveying to observe performance during and post construction. The wall sections were completed at the end of 2012. This paper will present the design, construction, and monitoring of this historic project.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.006
GPT teacher head0.209
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

Study designSimulation or modeling
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

Citations4
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueGeo-Congress 2014 Technical PapersSame topicGeotechnical Engineering and Soil StabilizationFrench-language works237,207