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Record W2184224446

HELICAL SCREW PILES (HSP) CAPACITY FOR AXIAL CYCLIC LOADINGS IN COHESIVE SOILS

2007· article· en· W2184224446 on OpenAlexaffabout
M. Hesham, Yasser Abdelghany

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsWestern University
Fundersnot available
KeywordsPileGeotechnical engineeringEngineeringStructural engineeringRetrofittingFoundation (evidence)Soil waterGeology
DOInot available

Abstract

fetched live from OpenAlex

The use of helical anchors has gained popularity and has evolved into several innovative applications, including Helical Screw Piles (HSP). A comprehensive research program is being undertaken to explore the use of HSP for the seismic retrofitting of the foundations of existing structures and for implementation of new buildings in seismic areas. The research is motivated by some needs arisen from the recent upgrade of the Canadian seismic code. This paper focuses on the seismic performance of HSP capacity for axial cyclic loadings in cohesive soils. The main objectives of the paper are to evaluate the geotechnical capacity of this foundation system and to understand its cyclic behavior and load transfer mechanism. A filed testing program was conducted involving monotonic and cyclic load testing of three instrumented HSPs in cohesive-frictional soil. The piles performed well in terms of both pile capacity and displacement under cyclic loading. It was found that 15 cyclic loadings on the piles reduced the axial compression capacity of the pile by less than 10%.

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 score0.413
Threshold uncertainty score0.540

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)0.0000.000

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 head0.014
GPT teacher head0.219
Teacher spread0.206 · 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

Citations14
Published2007
Admission routes2
Has abstractyes

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