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Record W3215665494 · doi:10.1002/eqe.3579

Experimental method for evaluation of soil‐pipe interaction subjected to lateral or vertical cyclic load

2021· article· en· W3215665494 on OpenAlexaff
Jamin Park, Kyriakos Tryfonos, Oh‐Sung Kwon, Stathis Bousias

Bibliographic record

VenueEarthquake Engineering & Structural Dynamics · 2021
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDisplacement (psychology)Geotechnical engineeringStructural engineeringCoupling (piping)Soil structure interactionPipeline transportBilinear interpolationPipeline (software)Stress (linguistics)GeologyEarthquake shaking tableEngineeringFinite element methodMathematics

Abstract

fetched live from OpenAlex

Abstract Design of embedded pipelines in seismic areas require consideration of the interaction between pipeline and surrounding soil. The soil‐pipe interaction is often numerically modeled using Winkler springs, where a simple bilinear or trilinear soil resistance‐displacement relationship is employed. As Winkler spring modeling approach requires experimental data for calibration of spring parameters, extensive experimental studies have been carried out. However, most tests in previous studies have been carried out for pipeline specimens subjected to monotonic load, in which pipe lateral‐vertical response coupling is hardly investigated. In the present research, a novel test method that enables testing of a pipe specimen under lateral or vertical cyclic loading is investigated. In the proposed method, a soil box is mounted on a 6‐degree of freedom (DOF) displacement‐controlled table, such that soil‐pipe interaction in the lateral/vertical direction can be investigated. A series of tests considering various parameters such as pipe diameter, burial depth, soil density, and loading condition were performed. Test results provided evidence of the effect type of loading has on soil‐pipe interaction and the strong coupling between pipe response along lateral and vertical directions.

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 categoriesMeta-epidemiology (narrow)
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 score0.167
Threshold uncertainty score1.000

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 head0.012
GPT teacher head0.282
Teacher spread0.270 · 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.

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

Citations3
Published2021
Admission routes1
Has abstractyes

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