MétaCan
Menu
Back to cohort
Record W2119904747 · doi:10.1139/t08-111

Case study of a piled raft foundation constructed using a reverse construction method and its post-analysis

2009· article· en· W2119904747 on OpenAlexvenueno aff
Ryuuichi Sonoda, Tatsunori Matsumoto, Pastsakorn Kitiyodom, Hideo Moritaka, Toshihiro Ono

Bibliographic record

VenueCanadian Geotechnical Journal · 2009
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsnot available
Fundersnot available
KeywordsFoundation (evidence)PileEngineeringHuman settlementGeotechnical engineeringCivil engineeringRaftSuperstructureStructural engineeringMaterials science

Abstract

fetched live from OpenAlex

A building and its foundation were constructed in sandy ground using a reverse construction method. The main difference between a reverse construction method and a conventional construction method is that the piles are cast in place and are partially loaded by the superstructure early during the construction process. It is only later that the raft (mat foundation) is constructed to combine with the piles to bear the full building load. Therefore, the foundation is regarded as a pile group in early stages of construction, while the foundation behaves as a piled raft after completion of the raft construction. A simple conservative design approach was used for the design of the foundation. To examine the validity of the design method, settlements of the foundation were observed during construction. The measured settlements were smaller than those predicted in the design stage, satisfying the design requirements for the building. Post-analysis of the deformation of the foundation was carried out using the results of the pile load test at the construction site, and the results of the analysis are compared with the observed settlements of the foundation, aiming at an improvement in pile foundation design.

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)0.000
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: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.694

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.250
Teacher spread0.234 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations11
Published2009
Admission routes1
Has abstractyes

Explore more

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