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Record W2094995116 · doi:10.1061/9780784413449.003

Ground Vibration Levels Due to Impact Pile Driving in Sands

2014· article· en· W2094995116 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCivil and Geotechnical Engineering Research
Canadian institutionsImperial Oil (Canada)
Fundersnot available
KeywordsHammerPileVibrationGeophoneGeotechnical engineeringStructural engineeringImpact energyGround vibrationsParticle velocityEngineeringAcousticsEnvironmental scienceGeologyPhysics

Abstract

fetched live from OpenAlex

Ground vibrations generated from the pile driving process using impact hammers can have adverse effects on adjacent structures. Several factors contribute to the vibration levels, including the soil types, distance from the structures, and energy levels of the hammer. Depending upon the type of structure, regulatory authorities often impose restrictions on the allowable vibration level, typically in terms of peak particle velocity. Only a few methods are available to estimate the ground vibration levels due to pile driving. This paper presents the results of the vibration monitoring during the driving of six 406-mm-diameter, open-ended steel pipe piles and two H-piles (HP 360 x 174) using hydraulic impact hammers in medium dense to very dense, silty sands. Final penetration depths varied from 18 to 21 m. Six geophones were installed at the locations of each pile to monitor the vibration levels. The actual pile driving energy transferred to the pile was monitored using pile driving analyzer (PDA). The relationship between peak particle velocity and scaled distance was developed and compared against the methods available in literature.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.401

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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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