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Record W2169617978 · doi:10.1061/41095(365)49

Imaging Piles in Bridge Foundations Using Tomography and Horizontal Seismic Reflector Tracing

2010· article· en· W2169617978 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

VenueGeoFlorida 2010 · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Waves and Analysis
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsGeophysical imagingGeologyReflector (photography)DrillSeismologyTomographyBridge (graph theory)Foundation (evidence)DrillingEngineeringOpticsMechanical engineering

Abstract

fetched live from OpenAlex

A large number of aging bridges require a reliable inspection of their condition to determine if they are safe, or if they need to be rehabilitated or replaced. The direct assessment of foundations for existing structures would require excavation or, at least, an extensive drilling program. Such an effort would be extremely costly and impractical. It could also compromise the integrity and stability of the structure itself. The authors present the inspection technique that combines seismic cross-hole tomography and 3D imaging of seismic reflectors. The measurements are conducted using three drill holes that surround the investigated underground foundation components. The technique produces images of piles or other structural features through triangulation of reflected waves recorded at several points along each of drill holes. The authors also recognize new challenges when imaging a cluster of piles in a soft ground due to a need for seismic waves of the proper wavelength, and due to an intense dispersion of seismic waves in the space between the piles.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.987

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 head0.017
GPT teacher head0.243
Teacher spread0.226 · 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