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Record W3145368693

Lateral structural performance of Yingxian Wood Pagoda based on refined FE models

2013· article· en· W3145368693 on OpenAlexaff
Chen Zhiyon

Bibliographic record

VenueJianzhu jiegou xuebao · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBamboo properties and applications
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPagodaStructural engineeringStiffnessColumn (typography)Shearing (physics)EngineeringGeotechnical engineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

This paper presents the structural system analysis,refined FE modelling,dynamic characteristics and lateral structural performance analysis of Yingxian Wood Pagoda.The pagoda can be regarded as a layered platform beam-column structure.Two refined FE models of the structure of Yingxian Wood Pagoda with and without considering damage were developed based on ABAQUS platform,respectively,in which the Dou-Gong was modeled with beamshort-column assembly and the column-frame joints were simulated with stiffness-equivalent elements.The lateral drift of the 1st story of the pagoda appeared as bending type while those of other stories showed as shearing type,since the mud wall strengthened the column frames of the 1st story.The lateral stiffness of the Pu-zuo layers in the apparent stories,the column-frames in hidden stories,the Pu-zuo layers in hidden stories and the column-frames in exposed stories decreased,sequentially.The lateral stiffness of the pagoda model with considering damage was averagely 33% lower than those of the pagoda model without considering damage.Under the frequent earthquake,the lateral drift ratios of several apparent stories exceed the elastic inter-story drift ratio limit.An index for evaluating the overturning of the pagoda was suggested,and the safety of Yingxian Wood Pagoda under earthquakes was assessed.Although Yingxian Wood Pagoda has not overturned under the frequent earthquake,there is still potential in some level to overturn under rare earthquake.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score1.000

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)0.0010.000

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 head0.022
GPT teacher head0.192
Teacher spread0.170 · 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.

Study designBench or experimental
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

Citations0
Published2013
Admission routes1
Has abstractyes

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