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Record W2954295884 · doi:10.22260/isarc2019/0156

Study of Construction-Oriented Structural Connectors for a Temporary Bridge

2019· article· en· W2954295884 on OpenAlexaboutno aff
Yao-Yu Yang, Chia‐Ming Chang, Shih‐Chung Kang, Fang-Yao Yeh

Bibliographic record

VenueProceedings of the ... ISARC · 2019
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBridge (graph theory)Cable glandComputer scienceSoftwareDownloadStructural engineeringEngineeringOperating systemTelecommunications

Abstract

fetched live from OpenAlex

Study of Construction-Oriented Structural Connectors for a Temporary Bridge Yao-Yu Yang, Chia-Ming Chang, Shih-Chung Kang and Fang-Yao Yeh Pages 1171-1175 (2019 Proceedings of the 36th ISARC, Banff, Canada, ISBN 978-952-69524-0-6, ISSN 2413-5844) Abstract: Temporary bridges are indeed of need after a critical disaster due to the connectivity and efficient assembly. However, the conventional structural design of these temporary bridges may be limited by the construction requirements. In this study, a new type of structural connectors is developed and beneficial for more effectively assembling ability of temporary bridges. In this development, a construction-oriented design procedure is initiated from a conceptual design and verified by an in-house, small-scale model. This conceptual connector is then modified and analyzed by sophisticated software and finally fabricated for the full-scale use. This design has a bolt-free feature and allows rotational assembly workability. The structural analysis and virtual 3D simulation are conducted to numerically verify the state-of-the-practice connector. The results from the numerical simulation imply the possibility to employ the proposed connector for a temporary bridge. Keywords: Bolt-free connectors; Rotational assembly workability; Temporary bridges; Construction-oriented design procedure DOI: https://doi.org/10.22260/ISARC2019/0156 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.220
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2019
Admission routes1
Has abstractyes

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Same venueProceedings of the ... ISARCSame topicStructural Engineering and Vibration AnalysisFrench-language works237,207