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Research on Design of Neotype Wire Rope Safety Barrier

2011· article· en· W2077066608 on OpenAlexaff
Chen Chen Chen, Lei Mu, Zheng Bao Lei, Yong Han Li, Xin Chao Zhang, Guo Bin Liu

Bibliographic record

VenueAdvanced materials research · 2011
Typearticle
Languageen
FieldEngineering
TopicTransportation Safety and Impact Analysis
Canadian institutionsMinistry of Transportation of Ontario
Fundersnot available
KeywordsWire ropeEngineeringStructural engineeringFinite element methodRopeCrash testDeformation (meteorology)CollisionCrashComputer scienceGeology

Abstract

fetched live from OpenAlex

In order to research and develop a suitable wire rope safety barrier for our country, which will be used as the highway flexible safety barrier for two model demonstrative project of science and technology of Changsha-Xiangtan Highway, the paper presents a new type of wire rope safety barrier, by way of designing the shape of the post, the diameter of the rope, the arrangement and the number of ropes etc., on the basis of the form of structure of the most advanced foreign existing wire rope safety barrier — BRIFEN. The first part is devoted to prove the reliability of the finite element simulation, by comparing the simulation results of the finite element model of BRIFEN with the collision test data, which is published by U.S. Federal Highway Administration. After discussion and analysis, the neotype wire rope safety barrier, which has many posts with C-shaped cross section and 5 ropes, is invented with the post equivalent method. The finite element model of the neotype barrier is established and simulated to determine the dimension of the post. The simulation results achieve the design objective that the maximum dynamic deformation is less than 1.2m when the barrier is impacted by the 10 tons of bus in the speed of 60 kilometers per hour, and provide an important reference for Vehicle Crash Test.

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)0.003
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.153
GPT teacher head0.379
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

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
Published2011
Admission routes1
Has abstractyes

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