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Record W4414308163 · doi:10.1016/j.compgeo.2025.107653

Dynamic stability of piles with fractional damping foundation

2025· article· en· W4414308163 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueComputers and Geotechnics · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEngineering and Agricultural Innovations
Canadian institutionsLakehead University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFoundation (evidence)Stability (learning theory)Finite element methodStructural stability

Abstract

fetched live from OpenAlex

This paper investigates the dynamic stability and vibration response of a slender pile embedded in soil, both theoretically and numerically. The pile is modeled as a column resting on a Winkler-type elastic foundation with fractional damping characteristics. Investigation of the pile loaded axially leads to a fractional Mathieu differential equation of motion. To analyze stability, the Bolotin method is employed to derive approximate instability boundaries. Additionally, a numerical approach based on block-pulse functions is developed to construct detailed instability diagrams, which also serve to validate the theoretical results obtained using the Bolotin method. It is found that higher order instability regions generally need higher order infinite determinants. Finally, a numerical case study is presented to explore the effects of key parameters—such as the fractional order, foundation stiffness, damping coefficient, and static and dynamic load components—on the pile’s dynamic stability. The dynamic stability of a pile subjected to a real earthquake is determined.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score0.069

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 head0.009
GPT teacher head0.207
Teacher spread0.198 · 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