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Record W2335043880 · doi:10.1061/9780784412121.206

Dynamic Centrifuge Simulation for Soil-Foundation-NPP Containment System

2012· article· en· W2335043880 on OpenAlexaff
Jeong‐Gon Ha, Sei-Hyun Lee, Se‐Hee Kim, Dong‐Soo Kim

Bibliographic record

VenueGeoCongress 2012 · 2012
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsKootenay Association for Science & Technology
FundersKorea Institute of Energy Technology Evaluation and PlanningMinistry of Knowledge Economy
KeywordsCentrifugeEarthquake shaking tableGeotechnical engineeringFoundation (evidence)Containment (computer programming)GeologyCompactionComputer science

Abstract

fetched live from OpenAlex

The objective of this study is to duplicate the full soil structure interaction (SSI) behavior of Hualien Large-Scale Seismic Test (LSST) in the centrifuge modeling. To simulate dynamic soil properties, a series of resonant column tests were performed to determine model soil preparation conditions, such as compaction density and ratio of soil-gravel contents. After the model preparation, the shear wave velocity (VS) profile of the model was evaluated using in-flight bender element tests and compared with the insitu VS profile. The containment building and its foundation were modeled by aluminum according to the scaling law. A series of dynamic centrifuge tests were performed with 1/50-sized model using the recorded base motion at Chi-Chi earthquake. By comparing the recorded data during earthquake with centrifuge test data, the applicability of centrifuge test in the simulation of soil-foundation-structure interaction of NPP containment system was assessed.

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 score0.878
Threshold uncertainty score0.743

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 head0.007
GPT teacher head0.228
Teacher spread0.221 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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