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Record W2107291342 · doi:10.1061/41049(356)10

Field Tests on Composite Deep-Mixing-Cement Pile Foundation under Expressway Embankment

2009· article· en· W2107291342 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCivil and Geotechnical Engineering Research
Canadian institutionsGeomechanica (Canada)
FundersGovernment of Jiangsu ProvinceNatural Science Foundation of Zhejiang ProvinceNational Natural Science Foundation of China
KeywordsPileGeotechnical engineeringFoundation (evidence)LeveeEngineeringCohesion (chemistry)CementStructural engineeringGeologyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Anti-slide behavior of road foundation under embankment is of great importance to embankment stability in expressway engineering. Three kinds of field tests on anti-slide behavior of one expressway soft foundation improved by deep-mixing-cement pile (DMCP) are conducted, which include nature soft foundation test, single-pile foundation test and four-pile foundation test. Stress cells are placed in order to investgate the distributions of vertical stresses along the DMCP shaft during the filed tests. The investgated data show that anti-slide strength of the soft foundation increases greatly after the DMCP improvement. Single—pile foundation test and four-pile foundation test provide similar cohesion forces and friction angles, but they have different types of vertical stress growth process. Change of horizontal force only makes a little difference to vertical stress of DMCP below 6.0 m depth. This study can provide good base for relative design of expressway engineering.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.786
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.256
Teacher spread0.244 · 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