MétaCan
Menu
Back to cohort
Record W2312353658 · doi:10.4133/sageep2013-028.1

THE MICROVIBE, A NEW MULTI-COMPONENT PORTABLE SEISMIC VIBRATOR

2013· article· en· W2312353658 on OpenAlexaff
Kevin Brewer, Timothy Cartwright, A J -M Pugin

Bibliographic record

VenueSymposium on the Application of Geophysics to Engineering and Environmental Problems 2013 · 2013
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsVibrator (electronic)Component (thermodynamics)Computer scienceSeismic vibratorAcousticsPhysics

Abstract

fetched live from OpenAlex

From our own observations and those reported in the literature, relatively large seismic vibrators mounted on trucks are limited in their ability to generate energy above 225 Hz. To improve high frequency energy transfer into the ground, we have developed a 400 Watt, two-component 70 kg vibrator that we have named the “Microvibe.” Mounted with 6 off-the-shelf tactile transducers in both the vertical (V) and horizontal transverse (H2) directions, this vibrator can provide various types of linear and non-linear sweeps from 20 Hz up to 800 Hz with a 3900 N theoretical peak force for each component. This is approximately 15% of the energy provided by an IVI buggy-mounted Minvib I. In order to help compensate for the reduced energy levels, we increase the time length of the sweep. Our experiments have shown that shear wave energy is minimal above 300 Hz. In comparison, it is common to obtain P-wave reflections at 800 Hz over every type of soil that has been tested so far. The concept of operating with two components mounted on a single device is innovative, providing new insights into near surface shear wave anisotropy and birefringence. We compare data obtained with both the Minivib I and our Microvibe sources. Besides improved resolution, a significant advantage of using the Microvibe portable source is the considerable reduction of the acquisition costs for near surface, high resolution seismic reflection data.

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: none
Teacher disagreement score0.597
Threshold uncertainty score0.491

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 head0.003
GPT teacher head0.152
Teacher spread0.149 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueSymposium on the Application of Geophysics to Engineering and Environmental Problems 2013Same topicVibration and Dynamic AnalysisFrench-language works237,207