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Record W4417483965 · doi:10.3901/jme.2025.15.314

Experimental Study on Occupant Secondary Impact Injury for High-speed Trains

2025· article· en· W4417483965 on OpenAlex

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

VenueJournal of Mechanical Engineering · 2025
Typearticle
Languageen
FieldMedicine
TopicAutomotive and Human Injury Biomechanics
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsTrainImpactSide impact

Abstract

fetched live from OpenAlex

摘要: 列车碰撞是我国伤亡最严重的重大列车安全事故之一,研建专业的列车乘员二次碰撞试验系统并开展列车乘员碰撞试验对科学再现乘员冲击动力学损伤响应、评估列车被动安全性具有重要意义。依托已有的轨道车辆实车碰撞试验系统,成功研建了列车乘员二次碰撞试验平台。基于50百分位Hybrid Ⅲ假人,开展了高速列车乘员二次碰撞试验,分析座椅靠背角度和可折叠小桌板对列车乘员碰撞损伤响应的影响。结果显示,在列车耐撞性标准规定的碰撞速度下,乘员头部加速度峰值最大为30g,但头部损伤准则(Head injury criteria,HIC)最大值只有17.38,头部损伤并不严重。打开小桌板时,乘员胸部损伤虽并不明显,但颈部撞击小桌板出现的“锁喉”现象可能会威胁乘员生命安全。试验数据可为我国高速列车内饰结构优化设计和列车内饰碰撞安全标准的制定提供重要数据参考。

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.023
GPT teacher head0.336
Teacher spread0.313 · 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