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Record W2042116451 · doi:10.4271/2011-01-0271

Application of Energy-Absorbing Foam to the Seat Base to Mitigate Whiplash Injuries in Rear End Collisions

2011· article· en· W2042116451 on OpenAlexaff
Rami Mansour, D.P. Romilly

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2011
Typearticle
Languageen
FieldMedicine
TopicAutomotive and Human Injury Biomechanics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsWhiplashBase (topology)Structural engineeringWhiplash injuryMaterials scienceComputer scienceAutomotive engineeringEngineeringPoison controlMedicine

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Rear end collisions account for approximately $9 billion annually in the United States alone. These types of collisions account for nearly 30% of all vehicle impacts making them the most common type. Soft tissue injury to the neck (i.e. “whiplash”) is typically associated with this type of collision due to the occupant dynamics of the passengers in the struck vehicle. At low relative impact velocities, whiplash-type injuries are known to occur but are typically attributed to: 1) improper seat adjustment, 2) an “out-of-position” event, or 3) a low injury threshold due to age, gender, etc. In high impact collisions, both whiplash and occupant ejection can take place, the latter placing far greater risk of injury not only to the front seat occupant, but also to any rear seat passengers as well. The automobile seating system is the predominant safety device employed to protect the occupant during these types of collisions. In current seats, designers have focused predominantly on modifying seat base strength, seat back stiffness/compliance and head restraint size and position as a means of mitigating injury. While all of these aspects are important and have increased the crashworthiness of the seat, the concept of utilizing the seat base as a component to absorb collision energy has remained relatively unexamined, and may offer the potential for reducing injuries in higher severity collisions.</div><div class="htmlview paragraph">This paper reports work related to the development of a supplemental safety system for the automobile seat where the goal is to further reduce the dynamic loading of the occupant to mitigate injury during a rear end collision. The initial step of this work was to develop and utilize several simulation models (using LS DYNA) to examine the relationship between collision conditions (such as vehicle-to-vehicle collision speeds, initial occupant and seat position, and occupant size) to accepted neck injury criteria for both low and high speed collisions. Utilizing these results, this paper examines the potential for deformable materials (in this study closed-cell foam) to absorb enough transmitted energy in order to reduce the dynamic loading experienced by the occupant. The relationships between energy levels transmitted to the occupant, the occupant dynamics, and how they affect the neck injury criteria assessed values are reported. Several foams, used industry wide, have been investigated in order to determine the best foam characteristics and geometrical shapes for low, high, and severe speed collisions. The results indicate that the foam's stress vs. volumetric strain curve, length, and cross-sectional area can affect the degree to which injury potential is reduced over a broad range of collision speeds. Further discussion of design considerations for such a supplemental system is also provided in this paper.</div></div>

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.020
GPT teacher head0.265
Teacher spread0.245 · 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

Citations4
Published2011
Admission routes1
Has abstractyes

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