MétaCan
Menu
Back to cohort
Record W2604867898 · doi:10.1139/cgj-2015-0623

Vibration velocity of X-section cast-in-place concrete (XCC) pile–raft foundation model for a ballastless track

2017· article· en· W2604867898 on OpenAlexfundvenueno aff
Guangchao Sun, Gangqiang Kong, Hanlong Liu, Andrew Cudzo Amenuvor

Bibliographic record

VenueCanadian Geotechnical Journal · 2017
Typearticle
Languageen
FieldEngineering
TopicRailway Engineering and Dynamics
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaUniversité de Sherbrooke
KeywordsSubsoilGeotechnical engineeringFoundation (evidence)PileVibrationCritical ionization velocityGeologySaturation (graph theory)Structural engineeringEngineeringSoil waterMechanicsSoil science

Abstract

fetched live from OpenAlex

This paper presents two case studies of the dynamic response of a ballastless track, X-section cast-in-place concrete (XCC) pile–raft (referred to as BTXPR) foundation embedded in sand subsoil. Model tests were conducted at a scale of 1/5 using a 7 m deep box with cross-sectional dimensions of 5 m × 4 m. In one case the box was filled with subsoil consisting of air-dried sand, whereas in the other case the box was filled with saturated sand. The tests involved measurement and analysis of the response in velocity under different applied cyclic load frequencies. It has been shown that the magnitude and variation of vibration velocity in the BTXPR foundation are closely related to the degree of saturation of the subsoil. Due to the existence of pore water in the saturated sand subsoil, the first natural frequency of the BTXPR foundation embedded in saturated sand is 5 Hz lower than that in air-dried sand. In addition, the amplitude of vibration velocity of the BTXPR foundation embedded in the saturated sand is about 9%∼36% higher than that of the air-dried sand. The research results provide an insight into BTXPR foundations with respect to theoretical analysis and calculation.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

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 science0.0010.000
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 head0.017
GPT teacher head0.231
Teacher spread0.215 · 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

Citations58
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Geotechnical JournalSame topicRailway Engineering and DynamicsFrench-language works237,207