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Record W2587708964 · doi:10.1139/cgj-2016-0358

Seismic performance of soil-nailed walls using a 1<i>g</i> shaking table

2017· article· en· W2587708964 on OpenAlexvenueno aff
Majid Yazdandoust

Bibliographic record

VenueCanadian Geotechnical Journal · 2017
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsnot available
Fundersnot available
KeywordsEarthquake shaking tableWedge (geometry)Geotechnical engineeringDeformation (meteorology)Structural engineeringInflection pointGeologyDisplacement (psychology)Seismic analysisGeometryMathematicsEngineering

Abstract

fetched live from OpenAlex

To assess the seismic performance of soil-nailed walls, a series of 1g shaking table tests was conducted on 0.8 m high wall models with different nail lengths. It was found that the seismic deformation mode of walls highly depends on the nail length and input motion parameters. The combination of a base sliding and rotating deformation mode was observed as the predominant mode of deformation and the length to height (L/H) ratio of 0.7 was presented as the critical ratio in seismic conditions. The pattern of the observed failure mechanisms was similar to a third-degree polynomial failure surface with a specific inflection point. Irrespective of different nail lengths, the threshold acceleration corresponding to the onset of plastic displacements was similar and equal to 0.5g for all models. Based on the formation of initial cracks, a range of Δx/H = 0.33%–0.56% (where Δx is the lateral displacement of the facing) was found as a transitional level from quasi-elastic to plastic state. Also, based on the initial development of the active wedge failure, a range of Δx/H = 3.3%–4.3% was found as a transitional level from plastic to failure state.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.013
GPT teacher head0.206
Teacher spread0.193 · 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 designBench or experimental
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

Citations39
Published2017
Admission routes1
Has abstractyes

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Same venueCanadian Geotechnical JournalSame topicGeotechnical Engineering and Soil StabilizationFrench-language works237,207