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Record W2374513280

Regression and Analysis for Attenuation Parameters of Blasting Seismic Wave in Negative Digging at Tianwan Nuclear Power Station

2003· article· en· W2374513280 on OpenAlex
Wei Liu

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
TopicBlasting Impact and Analysis
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsAttenuationRock blastingDiggingVibrationAccelerationNuclear powerGeologyIntensity (physics)Geotechnical engineeringSeismologyEngineeringStructural engineeringAcousticsPhysicsNuclear physicsOpticsGeography
DOInot available

Abstract

fetched live from OpenAlex

On the basis of the negative excavating and its blasing of the second-stage project at Tianwan Nuclear Power Station and its field test, the measured vibration acceleration values is regressed, the attenuation parameters of blasting seism (K and α)in this region are obtained. The effect of the vibrationabsorptiue channel that was excavated between the protected and blast source on lowering blasting vibration is analyzed. the relationships between the distance of blasting source to vibration intensity and the most charge capacity are analyzed under the conditions of certain values, it is found that each of them is not in a linear relation, and the curve of them is helpful to the practical projects.

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 score0.135
Threshold uncertainty score0.336

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 head0.016
GPT teacher head0.229
Teacher spread0.212 · 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

Quick stats

Citations2
Published2003
Admission routes1
Has abstractyes

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